Paper Digest: Most Cited Papers on Semantic Segmentation

January 20, 2025April 24, 2025 admin

Paper Digest Team extracted all recent Semantic Segmentation related papers on our radar, and generated highlight sentences for them. The results are then sorted by impact.

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TABLE 1: Paper Digest: Most Cited Papers on Semantic Segmentation

	Paper	Author(s)	Source	Date
1	SegNet: A Deep Convolutional Encoder-Decoder Architecture For Image Segmentation IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet.	Vijay Badrinarayanan; Alex Kendall; Roberto Cipolla;	arxiv-cs.CV	2015-11-02
2	Rethinking Atrous Convolution For Semantic Image Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we revisit atrous convolution, a powerful tool to explicitly adjust filter’s field-of-view as well as control the resolution of feature responses computed by Deep Convolutional Neural Networks, in the application of semantic image segmentation.	Liang-Chieh Chen; George Papandreou; Florian Schroff; Hartwig Adam;	arxiv-cs.CV	2017-06-17
3	Indoor Segmentation and Support Inference from RGBD Images IF:10 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present an approach to interpret the major surfaces, objects, and support relations of an indoor scene from an RGBD image. Most existing work ignores physical interactions or …	Nathan Silberman; Derek Hoiem; Pushmeet Kohli; Rob Fergus;		2012-01-01
4	UNet++: A Nested U-Net Architecture For Medical Image Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present UNet++, a new, more powerful architecture for medical image segmentation.	Zongwei Zhou; Md Mahfuzur Rahman Siddiquee; Nima Tajbakhsh; Jianming Liang;	arxiv-cs.CV	2018-07-18
5	Semantic Image Segmentation With Deep Convolutional Nets And Fully Connected CRFs IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We overcome this poor localization property of deep networks by combining the responses at the final DCNN layer with a fully connected Conditional Random Field (CRF).	Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy; Alan L. Yuille;	arxiv-cs.CV	2014-12-22
6	Dual Attention Network for Scene Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism.	JUN FU et. al.	cvpr	2019-06-14
7	Interactive Graph Cuts For Optimal Boundary & Region Segmentation Of Objects In N-D Images IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we describe a new technique for general purpose interactive segmentation of N-dimensional images.	Y. Y. Boykov and M. -. Jolly;	iccv	2001-10-29
8	Learning Deconvolution Network For Semantic Segmentation IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel semantic segmentation algorithm by learning a deep deconvolution network.	Hyeonwoo Noh; Seunghoon Hong; Bohyung Han;	iccv	2015-12-13
9	Scene Parsing Through ADE20K Dataset IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce and analyze the ADE20K dataset, spanning diverse annotations of scenes, objects, parts of objects, and in some cases even parts of parts.	BOLEI ZHOU et. al.	cvpr	2017-06-17
10	Rethinking Semantic Segmentation From A Sequence-to-Sequence Perspective With Transformers IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to provide an alternative perspective by treating semantic segmentation as a sequence-to-sequence prediction task.	SIXIAO ZHENG et. al.	cvpr	2021-06-11
11	Rethinking Semantic Segmentation from A Sequence-to-Sequence Perspective with Transformers IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to provide an alternative perspective by treating semantic segmentation as a sequence-to-sequence prediction task.	SIXIAO ZHENG et. al.	arxiv-cs.CV	2020-12-31
12	Image Segmentation Using Deep Learning: A Survey IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this survey, we provide a comprehensive review of the literature at the time of this writing, covering a broad spectrum of pioneering works for semantic and instance-level segmentation, including fully convolutional pixel-labeling networks, encoder-decoder architectures, multi-scale and pyramid based approaches, recurrent networks, visual attention models, and generative models in adversarial settings.	SHERVIN MINAEE et. al.	arxiv-cs.CV	2020-01-15
13	CCNet: Criss-Cross Attention For Semantic Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a Criss-Cross Network (CCNet) for obtaining full-image contextual information in a very effective and efficient way.	ZILONG HUANG et. al.	arxiv-cs.CV	2018-11-28
14	Masked-attention Mask Transformer for Universal Image Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Masked-attention Mask Transformer (Mask2Former), a new architecture capable of addressing any image segmentation task (panoptic, instance or semantic).	Bowen Cheng; Ishan Misra; Alexander G. Schwing; Alexander Kirillov; Rohit Girdhar;	arxiv-cs.CV	2021-12-02
15	Semantic Understanding Of Scenes Through The ADE20K Dataset IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce and analyze the ADE20K dataset, spanning diverse annotations of scenes, objects, parts of objects, and in some cases even parts of parts.	BOLEI ZHOU et. al.	arxiv-cs.CV	2016-08-18
16	SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a large dataset to propel research on laser-based semantic segmentation.	JENS BEHLEY et. al.	iccv	2019-10-24
17	SemanticKITTI: A Dataset For Semantic Scene Understanding Of LiDAR Sequences IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a large dataset to propel research on laser-based semantic segmentation.	JENS BEHLEY et. al.	arxiv-cs.CV	2019-04-02
18	Learning Rich Features From RGB-D Images For Object Detection And Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we study the problem of object detection for RGB-D images using semantically rich image and depth features.	Saurabh Gupta; Ross Girshick; Pablo Arbeláez; Jitendra Malik;	arxiv-cs.CV	2014-07-22
19	UNet 3+: A Full-Scale Connected UNet For Medical Image Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel UNet 3+, which takes advantage of full-scale skip connections and deep supervisions.	H. Huang et al.;	icassp	2020-04-26
20	Dilated Residual Networks IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We show that dilated residual networks (DRNs) outperform their non-dilated counterparts in image classification without increasing the model’s depth or complexity.	Fisher Yu; Vladlen Koltun; Thomas Funkhouser;	cvpr	2017-06-17
21	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets For Semantic Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we extend DenseNets to deal with the problem of semantic segmentation.	Simon Jégou; Michal Drozdzal; David Vazquez; Adriana Romero; Yoshua Bengio;	arxiv-cs.CV	2016-11-28
22	CE-Net: Context Encoder Network For 2D Medical Image Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.	ZAIWANG GU et. al.	arxiv-cs.CV	2019-03-07
23	Parsing Natural Scenes And Natural Language With Recursive Neural Networks IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a max-margin structure prediction architecture based on recursive neural networks that can successfully recover such structure both in complex scene images as well as sentences.	Richard Socher; Cliff Chiung-Yu Lin; Andrew Ng; Chris Manning;	icml	2011-12-29
24	Large Kernel Matters — Improve Semantic Segmentation By Global Convolutional Network IF:8 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of recent trends [31, 32, 14] in network architecture design is stacking small filters (e.g., 1×1 or 3×3) in the entire network because the stacked small filters is more …	Chao Peng; Xiangyu Zhang; Gang Yu; G. Luo; Jian Sun;	2017 IEEE Conference on Computer Vision and Pattern …	2017-03-08
25	Instance-Aware Semantic Segmentation Via Multi-Task Network Cascades IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Multi-task Network Cascades for instance-aware semantic segmentation.	Jifeng Dai; Kaiming He; Jian Sun;	cvpr	2016-06-23
26	TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation IF:9 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned model is …	Jamie Shotton; John M. Winn; Carsten Rother; Antonio Criminisi;		2006-01-01
27	The Role Of Context For Object Detection And Semantic Segmentation In The Wild IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study the role of context in existing state-of-the-art detection and segmentation approaches.	ROOZBEH MOTTAGHI et. al.	cvpr	2014-06-24
28	ICNet For Real-Time Semantic Segmentation On High-Resolution Images IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We focus on the challenging task of real-time semantic segmentation in this paper.	Hengshuang Zhao; Xiaojuan Qi; Xiaoyong Shen; Jianping Shi; Jiaya Jia;	eccv	2018-09-10
29	Per-Pixel Classification Is Not All You Need for Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Following this observation, we propose MaskFormer, a simple mask classification model which predicts a set of binary masks, each associated with a single global class label prediction.	Bowen Cheng; Alex Schwing; Alexander Kirillov;	nips	2021-11-20
30	Per-Pixel Classification Is Not All You Need for Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Following this observation, we propose MaskFormer, a simple mask classification model which predicts a set of binary masks, each associated with a single global class label prediction.	Bowen Cheng; Alexander G. Schwing; Alexander Kirillov;	arxiv-cs.CV	2021-07-13
31	Panoptic Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The aim of our work is to revive the interest of the community in a more unified view of image segmentation.	Alexander Kirillov; Kaiming He; Ross Girshick; Carsten Rother; Piotr Dollár;	arxiv-cs.CV	2018-01-02
32	Panoptic Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The aim of our work is to revive the interest of the community in a more unified view of image segmentation.	Alexander Kirillov; Kaiming He; Ross Girshick; Carsten Rother; Piotr Dollar;	cvpr	2019-06-14
33	Object-Contextual Representations For Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the semantic segmentation problem with a focus on the context aggregation strategy.	Yuhui Yuan; Xilin Chen; Jingdong Wang;	eccv	2020-08-21
34	The Secrets Of Salient Object Segmentation IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Based on our analysis, we propose a new high quality dataset that offers both fixation and salient object segmentation ground-truth.	Yin Li; Xiaodi Hou; Christof Koch; James M. Rehg; Alan L. Yuille;	cvpr	2014-06-24
35	Segmenter: Transformer for Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we introduce Segmenter, a transformer model for semantic segmentation.	Robin Strudel; Ricardo Garcia; Ivan Laptev; Cordelia Schmid;	iccv	2021-10-08
36	LinkNet: Exploiting Encoder Representations For Efficient Semantic Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel deep neural network architecture which allows it to learn without any significant increase in number of parameters.	Abhishek Chaurasia; Eugenio Culurciello;	arxiv-cs.CV	2017-06-14
37	Simultaneous Detection And Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We aim to detect all instances of a category in an image and, for each instance, mark the pixels that belong to it.	Bharath Hariharan; Pablo Arbeláez; Ross Girshick; Jitendra Malik;	arxiv-cs.CV	2014-07-07
38	A Review On Deep Learning Techniques Applied To Semantic Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper provides a review on deep learning methods for semantic segmentation applied to various application areas.	Alberto Garcia-Garcia; Sergio Orts-Escolano; Sergiu Oprea; Victor Villena-Martinez; Jose Garcia-Rodriguez;	arxiv-cs.CV	2017-04-22
39	DenseASPP for Semantic Segmentation in Street Scenes IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose Densely connected Atrous Spatial Pyramid Pooling (DenseASPP), which connects a set of atrous convolutional layers in a dense way, such that it generates multi-scale features that not only cover a larger scale range, but also cover that scale range densely, without significantly increasing the model size.	Maoke Yang; Kun Yu; Chi Zhang; Zhiwei Li; Kuiyuan Yang;	cvpr	2018-06-17
40	Panoptic Feature Pyramid Networks IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we aim to unify these methods at the architectural level, designing a single network for both tasks.	Alexander Kirillov; Ross Girshick; Kaiming He; Piotr Dollár;	arxiv-cs.CV	2019-01-08
41	Panoptic Feature Pyramid Networks IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we aim to unify these methods at the architectural level, designing a single network for both tasks.	Alexander Kirillov; Ross Girshick; Kaiming He; Piotr Dollar;	cvpr	2019-06-14
42	The Mapillary Vistas Dataset For Semantic Understanding Of Street Scenes IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As default benchmark tasks, we define semantic image segmentation and instance-specific image segmentation, aiming to significantly further the development of state-of-the-art methods for visual road-scene understanding.	Gerhard Neuhold; Tobias Ollmann; Samuel Rota Bulo; Peter Kontschieder;	iccv	2017-07-23
43	Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of large-scale point clouds of millions of points.	Loic Landrieu; Martin Simonovsky;	cvpr	2018-06-17
44	Fast Online Object Tracking and Segmentation: A Unifying Approach IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.	Qiang Wang; Li Zhang; Luca Bertinetto; Weiming Hu; Philip H.S. Torr;	cvpr	2019-06-14
45	Fast Online Object Tracking And Segmentation: A Unifying Approach IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.	Qiang Wang; Li Zhang; Luca Bertinetto; Weiming Hu; Philip H. S. Torr;	arxiv-cs.CV	2018-12-12
46	ResUNet-a: A Deep Learning Framework For Semantic Segmentation Of Remotely Sensed Data IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: \textcolor{black}{Here we propose a reliable framework for performant results for the task of semantic segmentation of monotemporal very high resolution aerial images.	Foivos I. Diakogiannis; François Waldner; Peter Caccetta; Chen Wu;	arxiv-cs.CV	2019-04-01
47	ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation IF:8 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Semantic segmentation is a challenging task that addresses most of the perception needs of intelligent vehicles (IVs) in an unified way. Deep neural networks excel at this task, …	Eduardo Romera; José M. Álvarez; Luis M. Bergasa; Roberto Arroyo;	IEEE Transactions on Intelligent Transportation Systems	2018-01-01
48	The 2017 DAVIS Challenge On Video Object Segmentation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the 2017 DAVIS Challenge on Video Object Segmentation, a public dataset, benchmark, and competition specifically designed for the task of video object segmentation.	JORDI PONT-TUSET et. al.	arxiv-cs.CV	2017-04-03
49	Bayesian SegNet: Model Uncertainty In Deep Convolutional Encoder-Decoder Architectures For Scene Understanding IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a deep learning framework for probabilistic pixel-wise semantic segmentation, which we term Bayesian SegNet.	Alex Kendall; Vijay Badrinarayanan; Roberto Cipolla;	arxiv-cs.CV	2015-11-09
50	BiSeNet V2: Bilateral Network With Guided Aggregation For Real-time Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose to treat these spatial details and categorical semantics separately to achieve high accuracy and high efficiency for realtime semantic segmentation.	CHANGQIAN YU et. al.	arxiv-cs.CV	2020-04-05
51	Segmentation and Recognition Using Structure from Motion Point Clouds IF:9 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and …	Gabriel J. Brostow; Jamie Shotton; Julien Fauqueur; Roberto Cipolla;		2008-01-01
52	Fully Convolutional Instance-Aware Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the first fully convolutional end-to-end solution for instance-aware semantic segmentation task.	Yi Li; Haozhi Qi; Jifeng Dai; Xiangyang Ji; Yichen Wei;	cvpr	2017-06-17
53	A Survey on Deep Learning Techniques for Image and Video Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View	ALBERTO GARCIA-GARCIA et. al.	Appl. Soft Comput.	2018-01-01
54	ScribbleSup: Scribble-Supervised Convolutional Networks For Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to use scribbles to annotate images, and develop an algorithm to train convolutional networks for semantic segmentation supervised by scribbles.	Di Lin; Jifeng Dai; Jiaya Jia; Kaiming He; Jian Sun;	cvpr	2016-06-23
55	3D MRI Brain Tumor Segmentation Using Autoencoder Regularization IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we describe a semantic segmentation network for tumor subregion segmentation from 3D MRIs based on encoder-decoder architecture.	Andriy Myronenko;	arxiv-cs.CV	2018-10-27
56	PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle the challenging few-shot segmentation problem from a metric learning perspective and present PANet, a novel prototype alignment network to better utilize the information of the support set.	Kaixin Wang; Jun Hao Liew; Yingtian Zou; Daquan Zhou; Jiashi Feng;	arxiv-cs.CV	2019-08-18
57	What’s The Point: Semantic Segmentation With Point Supervision IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We incorporate this point supervision along with a novel objectness potential in the training loss function of a CNN model.	Amy Bearman; Olga Russakovsky; Vittorio Ferrari; Li Fei-Fei;	arxiv-cs.CV	2015-06-05
58	Efficient Piecewise Training Of Deep Structured Models For Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show how to improve semantic segmentation through the use of contextual information; specifically, we explore ‘patch-patch’ context between image regions, and ‘patch-background’ context.	Guosheng Lin; Chunhua Shen; Anton van den Hengel; Ian Reid;	cvpr	2016-06-23
59	Efficient Piecewise Training Of Deep Structured Models For Semantic Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show how to improve semantic segmentation through the use of contextual information; specifically, we explore `patch-patch’ context between image regions, and `patch-background’ context.	Guosheng Lin; Chunhua Shen; Anton van dan Hengel; Ian Reid;	arxiv-cs.CV	2015-04-04
60	Recurrent Residual Convolutional Neural Network Based On U-Net (R2U-Net) For Medical Image Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Recurrent Convolutional Neural Network (RCNN) based on U-Net as well as a Recurrent Residual Convolutional Neural Network (RRCNN) based on U-Net models, which are named RU-Net and R2U-Net respectively.	Md Zahangir Alom; Mahmudul Hasan; Chris Yakopcic; Tarek M. Taha; Vijayan K. Asari;	arxiv-cs.CV	2018-02-19
61	Deep Multi-modal Object Detection And Semantic Segmentation For Autonomous Driving: Datasets, Methods, And Challenges IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this context, many methods have been proposed for deep multi-modal perception problems.	DI FENG et. al.	arxiv-cs.RO	2019-02-20
62	Adversarial Examples For Semantic Segmentation And Object Detection IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we extend adversarial examples to semantic segmentation and object detection which are much more difficult.	CIHANG XIE et. al.	iccv	2017-07-23
63	One-Shot Video Object Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper tackles the task of semi-supervised video object segmentation, i.e., the separation of an object from the background in a video, given the mask of the first frame.	SERGI CAELLES et. al.	arxiv-cs.CV	2016-11-16
64	One-Shot Video Object Segmentation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper tackles the task of semi-supervised video object segmentation, i.e., the separation of an object from the background in a video, given the mask of the first frame.	SERGI CAELLES et. al.	cvpr	2017-06-17
65	Weakly-and Semi-Supervised Learning of A Deep Convolutional Network for Semantic Image Segmentation IF:8 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep convolutional neural networks (DCNNs) trained on a large number of images with strong pixel-level annotations have recently significantly pushed the state-of-art in semantic …	George Papandreou; Liang-Chieh Chen; Kevin P. Murphy; Alan L. Yuille;	2015 IEEE International Conference on Computer Vision (ICCV)	2015-01-01
66	Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs By Implicitly Unprojecting To 3D IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new end-to-end architecture that directly extracts a bird’s-eye-view representation of a scene given image data from an arbitrary number of cameras.	Jonah Philion; Sanja Fidler;	eccv	2020-08-21
67	PointRend: Image Segmentation As Rendering IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new method for efficient high-quality image segmentation of objects and scenes.	Alexander Kirillov; Yuxin Wu; Kaiming He; Ross Girshick;	cvpr	2020-06-08
68	A Large Annotated Medical Image Dataset For The Development And Evaluation Of Segmentation Algorithms IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we describe these ten labeled image datasets so that these data may be effectively reused by the research community.	AMBER L. SIMPSON et. al.	arxiv-cs.CV	2019-02-24
69	Object Region Mining With Adversarial Erasing: A Simple Classification To Semantic Segmentation Approach IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To mitigate this gap, we propose a new adversarial erasing approach for localizing and expanding object regions progressively.	YUNCHAO WEI et. al.	arxiv-cs.CV	2017-03-24
70	Using Multiple Segmentations To Discover Objects And Their Extent In Image Collections IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given a large dataset of images, we seek to automatically determine the visually similar object and scene classes together with their image segmentation.	B. C. Russell; W. T. Freeman; A. A. Efros; J. Sivic and A. Zisserman;	cvpr	2006-06-08
71	The Lovasz-Softmax Loss: A Tractable Surrogate for The Optimization of The Intersection-Over-Union Measure in Neural Networks IF:7 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Jaccard index, also referred to as the intersection-over-union score, is commonly employed in the evaluation of image segmentation results given its perceptual qualities, …	Maxim Berman; Amal Rannen Triki; Matthew B. Blaschko;	2018 IEEE/CVF Conference on Computer Vision and Pattern …	2018-01-01
72	Simple Does It: Weakly Supervised Instance And Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Starting from weak supervision in the form of bounding box detection annotations, we propose a new approach that does not require modification of the segmentation training procedure.	Anna Khoreva; Rodrigo Benenson; Jan Hosang; Matthias Hein; Bernt Schiele;	cvpr	2017-06-17
73	Seed, Expand And Constrain: Three Principles For Weakly-Supervised Image Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new loss function for the weakly-supervised training of semantic image segmentation models based on three guiding principles: to seed with weak localization cues, to expand objects based on the information about which classes can occur in an image, and to constrain the segmentations to coincide with object boundaries.	Alexander Kolesnikov; Christoph H. Lampert;	arxiv-cs.CV	2016-03-19
74	Perceptual Organization And Recognition Of Indoor Scenes From RGB-D Images IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose algorithms for object boundary detection and hierarchical segmentation that generalize the gP b ucm approach of [2] by making effective use of depth information.	Saurabh Gupta; Pablo Arbelaez; Jitendra Malik;	cvpr	2013-07-25
75	Semantic Segmentation Using Adversarial Networks IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose an adversarial training approach to train semantic segmentation models.	Pauline Luc; Camille Couprie; Soumith Chintala; Jakob Verbeek;	arxiv-cs.CV	2016-11-25
76	Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To alleviate this issue, we present a novel framework that generates segmentation labels of images given their image-level class labels.	Jiwoon Ahn; Suha Kwak;	cvpr	2018-06-17
77	Associative Hierarchical CRFs For Object Class Image Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Motivated by this observation, we propose a hierarchical random field model, that allows integration of features computed at different levels of the quantisation hierarchy.	L. Ladick�; C. Russell; P. Kohli and P. H. S. Torr;	iccv	2009-10-29
78	Image Parsing: Unifying Segmentation, Detection, And Recognition IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a general framework for parsing images into regions and objects.	Zhuowen Tu; Xiangrong Chen; Yuille and Zhu;	iccv	2003-10-29
79	From Image-Level To Pixel-Level Labeling With Convolutional Networks IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a Convolutional Neural Network-based model, which is constrained during training to put more weight on pixels which are important for classifying the image.	Pedro O. Pinheiro; Ronan Collobert;	cvpr	2015-06-08
80	Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation IF:7 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We consider the problem of learning deep neural networks (DNNs) for object category segmentation, where the goal is to label each pixel in an image as being part of a given object …	Md. Atiqur Rahman; Yang Wang;		2016-01-01
81	Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we study the semi-supervised semantic segmentation problem via exploring both labeled data and extra unlabeled data.	Xiaokang Chen; Yuhui Yuan; Gang Zeng; Jingdong Wang;	cvpr	2021-06-11
82	PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present PartNet: a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information.	KAICHUN MO et. al.	cvpr	2019-06-14
83	EDGE DETECTION TECHNIQUES FOR IMAGE SEGMENTATION IF:7 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interpretation of image contents is one of the objectives in computer vision specifically in image processing. In this era it has received much awareness of researchers. In image …	R Muthukrishnan; M Radha;	International Journal of Computer Science and Information …	2011-01-01
84	One-Shot Learning For Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We extend these techniques to support dense semantic image segmentation.	Amirreza Shaban; Shray Bansal; Zhen Liu; Irfan Essa; Byron Boots;	arxiv-cs.CV	2017-09-11
85	Semantic Image Segmentation Via Deep Parsing Network IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, DPN extends a contemporary CNN architecture to model unary terms and additional layers are carefully devised to approximate the mean field algorithm (MF) for pairwise terms.	Ziwei Liu; Xiaoxiao Li; Ping Luo; Chen Change Loy; Xiaoou Tang;	arxiv-cs.CV	2015-09-09
86	Semantic Image Segmentation Via Deep Parsing Network IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, DPN extends a contemporary CNN architecture to model unary terms and additional layers are carefully devised to approximate the mean field algorithm (MF) for pairwise terms.	Ziwei Liu; Xiaoxiao Li; Ping Luo; Chen-Change Loy; Xiaoou Tang;	iccv	2015-12-13
87	A Review of Semantic Segmentation Using Deep Neural Networks IF:7 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: During the long history of computer vision, one of the grand challenges has been semantic segmentation which is the ability to segment an unknown image into different parts and …	Yanming Guo; Yu Liu; Theodoros Georgiou; Michael S. Lew;	International Journal of Multimedia Information Retrieval	2017-01-01
88	Deep Semantic Segmentation of Natural and Medical Images: A Review IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the medical image analysis domain, image segmentation can be used for image-guided interventions, radiotherapy, or improved radiological diagnostics. In this review, we categorize the leading deep learning-based medical and non-medical image segmentation solutions into six main groups of deep architectural, data synthesis-based, loss function-based, sequenced models, weakly supervised, and multi-task methods and provide a comprehensive review of the contributions in each of these groups.	Saeid Asgari Taghanaki; Kumar Abhishek; Joseph Paul Cohen; Julien Cohen-Adad; Ghassan Hamarneh;	arxiv-cs.CV	2019-10-16
89	Dense Contrastive Learning for Self-Supervised Visual Pre-Training IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To fill this gap, we aim to design an effective, dense self-supervised learning method that directly works at the level of pixels (or local features) by taking into account the correspondence between local features.	Xinlong Wang; Rufeng Zhang; Chunhua Shen; Tao Kong; Lei Li;	cvpr	2021-06-11
90	Bidirectional Learning for Domain Adaptation of Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel bidirectional learning framework for domain adaptation of segmentation.	Yunsheng Li; Lu Yuan; Nuno Vasconcelos;	cvpr	2019-06-14
91	Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View	Ali Işın; Cem Direkoglu; Melike Şah;	Procedia Computer Science	2016-01-01
92	Classification With An Edge: Improving Semantic Image Segmentation With Boundary Detection IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an end-to-end trainable deep convolutional neural network (DCNN) for semantic segmentation with built-in awareness of semantically meaningful boundaries.	DIMITRIOS MARMANIS et. al.	arxiv-cs.CV	2016-12-05
93	Learning Video Object Segmentation From Static Images IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by recent advances of deep learning in instance segmentation and object tracking, we introduce video object segmentation problem as a concept of guided instance segmentation.	Anna Khoreva; Federico Perazzi; Rodrigo Benenson; Bernt Schiele; Alexander Sorkine-Hornung;	arxiv-cs.CV	2016-12-08
94	Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast system for panoptic segmentation, aiming to establish a solid baseline for bottom-up methods that can achieve comparable performance of two-stage methods while yielding fast inference speed.	BOWEN CHENG et. al.	cvpr	2020-06-08
95	A Benchmark For Endoluminal Scene Segmentation Of Colonoscopy Images IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Thus, in this paper, we introduce an extended benchmark of colonoscopy image, with the hope of establishing a new strong benchmark for colonoscopy image analysis research.	DAVID VÁZQUEZ et. al.	arxiv-cs.CV	2016-12-02
96	Full-Resolution Residual Networks For Semantic Segmentation In Street Scenes IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To alleviate this problem we propose a novel ResNet-like architecture that exhibits strong localization and recognition performance.	Tobias Pohlen; Alexander Hermans; Markus Mathias; Bastian Leibe;	cvpr	2017-06-17
97	Structured Knowledge Distillation for Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the issue of knowledge distillation for training compact semantic segmentation networks by making use of cumbersome networks.	YIFAN LIU et. al.	cvpr	2019-06-14
98	PixelLink: Detecting Scene Text Via Instance Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, PixelLink, a novel scene text detection algorithm based on instance segmentation, is proposed.	Dan Deng; Haifeng Liu; Xuelong Li; Deng Cai;	aaai	2018-02-02
99	Indoor Scene Segmentation Using A Structured Light Sensor IF:7 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper we explore how a structured light depth sensor, in the form of the Microsoft Kinect, can assist with indoor scene segmentation. We use a CRF-based model to evaluate …	Nathan Silberman; Rob Fergus;	2011 IEEE International Conference on Computer Vision …	2011-01-01
100	Visual Attention Network IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: (3) It only captures spatial adaptability but ignores channel adaptability. In this paper, we propose a novel linear attention named large kernel attention (LKA) to enable self-adaptive and long-range correlations in self-attention while avoiding its shortcomings.	Meng-Hao Guo; Cheng-Ze Lu; Zheng-Ning Liu; Ming-Ming Cheng; Shi-Min Hu;	arxiv-cs.CV	2022-02-20
101	An Adaptive Clustering Algorithm For Image Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View	T. N. Pappas and N. S. Jayant;	iccv	1988-10-29
102	SGPN: Similarity Group Proposal Network For 3D Point Cloud Instance Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Similarity Group Proposal Network (SGPN), a simple and intuitive deep learning framework for 3D object instance segmentation on point clouds.	Weiyue Wang; Ronald Yu; Qiangui Huang; Ulrich Neumann;	arxiv-cs.CV	2017-11-23
103	STC: A Simple To Complex Framework For Weakly-supervised Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple to complex (STC) framework in which only image-level annotations are utilized to learn DCNNs for semantic segmentation.	YUNCHAO WEI et. al.	arxiv-cs.CV	2015-09-10
104	DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces an extremely efficient CNN architecture named DFANet for semantic segmentation under resource constraints.	Hanchao Li; Pengfei Xiong; Haoqiang Fan; Jian Sun;	cvpr	2019-06-14
105	Adversarial Learning For Semi-Supervised Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method for semi-supervised semantic segmentation using an adversarial network.	Wei-Chih Hung; Yi-Hsuan Tsai; Yan-Ting Liou; Yen-Yu Lin; Ming-Hsuan Yang;	arxiv-cs.CV	2018-02-22
106	UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Transformer-based decoder and construct a UNet-like Transformer (UNetFormer) for real-time urban scene segmentation.	LIBO WANG et. al.	arxiv-cs.CV	2021-09-18
107	Language-driven Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a language-driven approach that enables synthesis of zero-shot semantic segmentation models from arbitrary label sets at test time.	Boyi Li; Kilian Q Weinberger; Serge Belongie; Vladlen Koltun; Rene Ranftl;	iclr	2022-02-08
108	Language-driven Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present LSeg, a novel model for language-driven semantic image segmentation.	Boyi Li; Kilian Q. Weinberger; Serge Belongie; Vladlen Koltun; René Ranftl;	arxiv-cs.CV	2022-01-10
109	Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the traditional image segmentation methods of seeded region growing, we propose to train a semantic segmentation network starting from the discriminative regions and progressively increase the pixel-level supervision using by seeded region growing.	Zilong Huang; Xinggang Wang; Jiasi Wang; Wenyu Liu; Jingdong Wang;	cvpr	2018-06-17
110	Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we revisit the dilated convolution proposed in [1] and shed light on how it enables the classification network to generate dense object localization.	YUNCHAO WEI et. al.	cvpr	2018-06-17
111	CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present CANet, a class-agnostic segmentation network that performs few-shot segmentation on new classes with only a few annotated images available.	Chi Zhang; Guosheng Lin; Fayao Liu; Rui Yao; Chunhua Shen;	cvpr	2019-06-14
112	Single Image Depth Estimation From Predicted Semantic Labels IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We consider the problem of estimating the depth of each pixel in a scene from a single monocular image.	B. Liu; S. Gould and D. Koller;	cvpr	2010-06-08
113	Constrained Parametric Min-cuts For Automatic Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel framework for generating and ranking plausible objects hypotheses in an image using bottom-up processes and mid-level cues.	J. Carreira and C. Sminchisescu;	cvpr	2010-06-08
114	A Review of Deep-Learning-Based Medical Image Segmentation Methods IF:7 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As an emerging biomedical image processing technology, medical image segmentation has made great contributions to sustainable medical care. Now it has become an important research …	Xiangbin Liu; Liping Song; Shuai Liu; Yudong Zhang;	Sustainability	2021-01-01
115	Pointwise Convolutional Neural Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a convolutional neural network for semantic segmentation and object recognition with 3D point clouds.	Binh-Son Hua; Minh-Khoi Tran; Sai-Kit Yeung;	cvpr	2018-06-17
116	Feedforward Semantic Segmentation With Zoom-Out Features IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a purely feed-forward architecture for semantic segmentation.	Mohammadreza Mostajabi; Payman Yadollahpour; Gregory Shakhnarovich;	cvpr	2015-06-08
117	Review of Brain MRI Image Segmentation Methods IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, …	M. A. Balafar; Abdul Rahman Ramli; M. Iqbal Saripan; Syamsiah Mashohor;	Artificial Intelligence Review	2010-01-01
118	Fast-SCNN: Fast Semantic Segmentation Network IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce fast segmentation convolutional neural network (Fast-SCNN), an above real-time semantic segmentation model on high resolution image data (1024x2048px) suited to efficient computation on embedded devices with low memory.	Rudra P K Poudel; Stephan Liwicki; Roberto Cipolla;	arxiv-cs.CV	2019-02-12
119	Interactive Image Segmentation By Maximal Similarity Based Region Merging IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View	Jifeng Ning; Lei Zhang; David Zhang; Chengke Wu;	Pattern Recognit.	2010-01-01
120	Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a methodology that incorporates k-means and improved watershed segmentation algorithm for medical image segmentation. The use of the conventional watershed algorithm …	H.P. Ng; S.H. Ong; K.W.C. Foong; P.S. Goh; W.L. Nowinski;	2006 IEEE Southwest Symposium on Image Analysis and …	2006-01-01
121	What Is A Good Evaluation Measure for Semantic Segmentation? IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work, we consider the evaluation of the semantic segmentation task. We discuss the strengths and limitations of the few existing measures, and propose new ways to evaluate …	Gabriela Csurka; Diane Larlus; Florent Perronnin;		2013-01-01
122	GroupViT: Semantic Segmentation Emerges from Text Supervision IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Instead, in this paper, we propose to bring back the grouping mechanism into deep networks, which allows semantic segments to emerge automatically with only text supervision.	JIARUI XU et. al.	arxiv-cs.CV	2022-02-22
123	Exploring Cross-Image Pixel Contrast for Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by recent advance in unsupervised contrastive representation learning, we propose a pixel-wise contrastive algorithm for semantic segmentation in the fully supervised setting.	WENGUAN WANG et. al.	iccv	2021-10-08
124	YouTube-VOS: Sequence-to-Sequence Video Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on this dataset, we propose a novel sequence-to-sequence network to fully exploit long-term spatial-temporal information in videos for segmentation. To solve this problem, we build a new large-scale video object segmentation dataset called YouTube Video Object Segmentation dataset (YouTube-VOS).	NING XU et. al.	eccv	2018-09-10
125	A Framework for Evaluating Image Segmentation Algorithms IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View	JAYARAM K. UDUPA et. al.	Computerized medical imaging and graphics : the official …	2006-01-01
126	SG-One: Similarity Guidance Network For One-Shot Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple yet effective Similarity Guidance network to tackle the One-shot (SG-One) segmentation problem.	Xiaolin Zhang; Yunchao Wei; Yi Yang; Thomas Huang;	arxiv-cs.CV	2018-10-22
127	Anabranch Network for Camouflaged Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The main objective of this paper is to explore the camouflaged object segmentation problem, namely, segmenting the camouflaged object(s) for a given image. To address this problem, we provide a new image dataset of camouflaged objects for benchmarking purposes.	Trung-Nghia Le; Tam V. Nguyen; Zhongliang Nie; Minh-Triet Tran; Akihiro Sugimoto;	arxiv-cs.CV	2021-05-19
128	Deep Extreme Cut: From Extreme Points to Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper explores the use of extreme points in an object (left-most, right-most, top, bottom pixels) as input to obtain precise object segmentation for images and videos.	Kevis-Kokitsi Maninis; Sergi Caelles; Jordi Pont-Tuset; Luc Van Gool;	cvpr	2018-06-17
129	Modeling Scenes With Local Descriptors And Latent Aspects IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models.	P. Quelhas; F. Monay; J. -. Odobez; D. Gatica-Perez; T. Tuytelaars and L. Van Gool;	iccv	2005-10-29
130	Watershed, Hierarchical Segmentation and Waterfall Algorithm IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A major drawback when using the watershed transformation as a segmentation tool comes from the over-segmentation of the image. Over-segmentation is produced by the great number of …	Serge Beucher;		1994-01-01
131	SegFlow: Joint Learning For Video Object Segmentation And Optical Flow IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes an end-to-end trainable network, SegFlow, for simultaneously predicting pixel-wise object segmentation and optical flow in videos.	Jingchun Cheng; Yi-Hsuan Tsai; Shengjin Wang; Ming-Hsuan Yang;	arxiv-cs.CV	2017-09-20
132	Detection of Moving Cast Shadows for Object Segmentation IF:7 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To prevent moving shadows being misclassified as moving objects or parts of moving objects, this paper presents an explicit method for detection of moving cast shadows on a …	Jürgen Stauder; Roland Mech; Jörn Ostermann;	IEEE Trans. Multim.	1999-01-01
133	Direct Physiological Evidence for Scene Segmentation By Temporal Coding IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Theoretical studies have suggested that scene segmentation may be accomplished by a temporal coding mechanism using synchronization of neuronal responses. Here we report a direct …	A K Engel; P König; W Singer;	Proceedings of the National Academy of Sciences of the …	1991-01-01
134	A Brief Survey on Semantic Segmentation with Deep Learning IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View	Shijie Hao; Yuan Zhou; Yanrong Guo;	Neurocomputing	2020-01-01
135	FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose FEELVOS as a simple and fast method which does not rely on fine-tuning.	PAUL VOIGTLAENDER et. al.	cvpr	2019-06-14
136	CNN-based Segmentation Of Medical Imaging Data IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, a CNN-based method with three-dimensional filters is demonstrated and applied to hand and brain MRI.	Baris Kayalibay; Grady Jensen; Patrick van der Smagt;	arxiv-cs.CV	2017-01-11
137	Segmentation From Natural Language Expressions IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we approach the novel problem of segmenting an image based on a natural language expression.	Ronghang Hu; Marcus Rohrbach; Trevor Darrell;	arxiv-cs.CV	2016-03-20
138	Weakly- And Semi-Supervised Learning Of A DCNN For Semantic Image Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We develop Expectation-Maximization (EM) methods for semantic image segmentation model training under these weakly supervised and semi-supervised settings.	George Papandreou; Liang-Chieh Chen; Kevin Murphy; Alan L. Yuille;	arxiv-cs.CV	2015-02-09
139	Recent Progress In Semantic Image Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we divide semantic image segmentation methods into two categories: traditional and recent DNN method.	Xiaolong Liu; Zhidong Deng; Yuhan Yang;	arxiv-cs.CV	2018-09-19
140	Searching for Efficient Multi-Scale Architectures for Dense Image Prediction IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we explore the construction of meta-learning techniques for dense image prediction focused on the tasks of scene parsing, person-part segmentation, and semantic image segmentation.	LIANG-CHIEH CHEN et. al.	nips	2018-12-04
141	Searching For Efficient Multi-Scale Architectures For Dense Image Prediction IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we explore the construction of meta-learning techniques for dense image prediction focused on the tasks of scene parsing, person-part segmentation, and semantic image segmentation.	LIANG-CHIEH CHEN et. al.	arxiv-cs.CV	2018-09-11
142	A Survey of Graph Theoretical Approaches to Image Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View	Bo Peng; Lei Zhang; David Zhang;	Pattern Recognit.	2013-01-01
143	Brain Tumor Segmentation Based on A Hybrid Clustering Technique IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View	Eman Abdel-Maksoud; Mohammed Elmogy; Rashid Mokhtar Al-Awadi;	Egyptian Informatics Journal	2015-01-01
144	Multi-scale Self-guided Attention For Medical Image Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we attempt to overcome these limitations with the proposed architecture, by capturing richer contextual dependencies based on the use of guided self-attention mechanisms.	Ashish Sinha; Jose Dolz;	arxiv-cs.CV	2019-06-06
145	A Survey on Instance Segmentation: State of The Art IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object detection or localization is an incremental step in progression from coarse to fine digital image inference. It not only provides the classes of the image objects, but also …	Abdul Mueed Hafiz; Ghulam Mohiuddin Bhat;	International Journal of Multimedia Information Retrieval	2020-01-01
146	Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning …	Guido Gerig; Matthieu Jomier; Miranda Chakos;		2001-01-01
147	Image Segmentation Using Text and Image Prompts IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we propose a system that can generate image segmentations based on arbitrary prompts at test time.	Timo Lüddecke; Alexander S. Ecker;	arxiv-cs.CV	2021-12-18
148	ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this, we introduce ACDC, the Adverse Conditions Dataset with Correspondences for training and testing semantic segmentation methods on adverse visual conditions.	Christos Sakaridis; Dengxin Dai; Luc Van Gool;	iccv	2021-10-08
149	Improving Semantic Segmentation Via Video Propagation And Label Relaxation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a video prediction-based methodology to scale up training sets by synthesizing new training samples in order to improve the accuracy of semantic segmentation networks.	YI ZHU et. al.	arxiv-cs.CV	2018-12-04
150	Segment Everything Everywhere All at Once IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present SEEM, a promotable and interactive model for segmenting everything everywhere all at once in an image.	XUEYAN ZOU et. al.	nips	2023-10-24
151	Scene Segmentation from Visual Motion Using Global Optimization IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents results from computer experiments with an algorithm to perform scene disposition and motion segmentation from visual motion or optic flow. The maximum a …	David W. Murray; Bernard F. Buxton;	IEEE Transactions on Pattern Analysis and Machine …	1987-01-01
152	MFNet: Towards Real-time Semantic Segmentation for Autonomous Vehicles with Multi-spectral Scenes IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work addresses the semantic segmentation of images of street scenes for autonomous vehicles based on a new RGB-Thermal dataset, which is also introduced in this paper. An …	Qishen Ha; Kohei Watanabe; Takumi Karasawa; Yoshitaka Ushiku; Tatsuya Harada;	2017 IEEE/RSJ International Conference on Intelligent …	2017-01-01
153	Semantic Segmentation Of Earth Observation Data Using Multimodal And Multi-scale Deep Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our contributions are the following: 1) we transfer efficiently a DFCNN from generic everyday images to remote sensing images; 2) we introduce a multi-kernel convolutional layer for fast aggregation of predictions at multiple scales; 3) we perform data fusion from heterogeneous sensors (optical and laser) using residual correction.	Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre;	arxiv-cs.CV	2016-09-22
154	NAS-Unet: Neural Architecture Search for Medical Image Segmentation IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural architecture search (NAS) has significant progress in improving the accuracy of image classification. Recently, some works attempt to extend NAS to image segmentation which …	Yu Weng; Tianbao Zhou; Yujie Li; Xiaoyu Qiu;	IEEE Access	2019-01-01
155	Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs And A Discriminatively Trained Domain Transform IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose replacing the fully-connected CRF with domain transform (DT), a modern edge-preserving filtering method in which the amount of smoothing is controlled by a reference edge map.	Liang-Chieh Chen; Jonathan T. Barron; George Papandreou; Kevin Murphy; Alan L. Yuille;	cvpr	2016-06-23
156	Fast and Automatic Video Object Segmentation and Tracking for Content-based Applications IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The new video-coding standard MPEG-4 enables content-based functionality, as well as high coding efficiency, by taking into account shape information of moving objects. A novel …	Changick Kim; Jenq-Neng Hwang;	IEEE Trans. Circuits Syst. Video Technol.	2002-01-01
157	Understanding Deep Learning Techniques For Image Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main goal of this work is to provide an intuitive understanding of the major techniques that has made significant contribution to the image segmentation domain.	Swarnendu Ghosh; Nibaran Das; Ishita Das; Ujjwal Maulik;	arxiv-cs.CV	2019-07-13
158	Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Without bells and whistles, the proposed approach achieves the state-of-the-arts consistently on the three popular scene segmentation datasets, Pascal Context, SUN-RGBD and COCO Stuff.	Henghui Ding; Xudong Jiang; Bing Shuai; Ai Qun Liu; Gang Wang;	cvpr	2018-06-17
159	Scene Labeling With LSTM Recurrent Neural Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper addresses the problem of pixel-level segmentation and classification of scene images with an entirely learning-based approach using Long Short Term Memory (LSTM) recurrent neural networks, which are commonly used for sequence classification.	Wonmin Byeon; Thomas M. Breuel; Federico Raue; Marcus Liwicki;	cvpr	2015-06-08
160	MaskLab: Instance Segmentation By Refining Object Detection With Semantic and Direction Features IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we tackle the problem of instance segmentation, the task of simultaneously solving object detection and semantic segmentation.	LIANG-CHIEH CHEN et. al.	cvpr	2018-06-17
161	Video Segmentation Via Object Flow IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To obtain accurate segmentation across time, we propose an efficient algorithm that considers video segmentation and optical flow estimation simultaneously.	Yi-Hsuan Tsai; Ming-Hsuan Yang; Michael J. Black;	cvpr	2016-06-23
162	Efficient Video Object Segmentation Via Network Modulation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach that uses a single forward pass to adapt the segmentation model to the appearance of a specific object.	Linjie Yang; Yanran Wang; Xuehan Xiong; Jianchao Yang; Aggelos K. Katsaggelos;	cvpr	2018-06-17
163	Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel deep neural network architecture for semi-supervised semantic segmentation using heterogeneous annotations.	Seunghoon Hong; Hyeonwoo Noh; Bohyung Han;	nips	2015-12-30
164	Prototype Mixture Models For Few-shot Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose prototype mixture models (PMMs), which correlate diverse image regions with multiple prototypes to enforce the prototype-based semantic representation.	Boyu Yang; Chang Liu; Bohao Li; Jianbin Jiao; Qixiang Ye;	arxiv-cs.CV	2020-08-10
165	Adaptive Image Segmentation Using A Genetic Algorithm IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is an old and difficult problem. One of the fundamental weaknesses of current computer vision systems to be used in practical applications is their inability to …	Bir Bhanu; Sungkee Lee; John C. Ming;	IEEE Transactions on Systems, Man, and Cybernetics	1995-01-01
166	Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a fundamental problem in biomedical image analysis. In biomedical practice, it is often the case that only limited annotated data are available for model …	YIZHE ZHANG et. al.		2017-01-01
167	ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address these problems by proposing an efficient end-to-end permutation invariant convolution for point cloud deep learning.	Zhiyuan Zhang; Binh-Son Hua; Sai-Kit Yeung;	iccv	2019-10-24
168	No More Discrimination: Cross City Adaptation Of Road Scene Segmenters IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Instead of collecting a large number of annotated images of each city of interest to train or refine the segmenter, we propose an unsupervised learning approach to adapt road scene segmenters across different cities.	YI-HSIN CHEN et. al.	iccv	2017-07-23
169	Video Object Segmentation Without Temporal Information IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the orthogonal approach of processing each frame independently, i.e disregarding the temporal information.	KEVIS-KOKITSI MANINIS et. al.	arxiv-cs.CV	2017-09-18
170	MaskFusion: Real-Time Recognition, Tracking And Reconstruction Of Multiple Moving Objects IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present MaskFusion, a real-time, object-aware, semantic and dynamic RGB-D SLAM system that goes beyond traditional systems which output a purely geometric map of a static scene.	Martin Rünz; Maud Buffier; Lourdes Agapito;	arxiv-cs.CV	2018-04-24
171	Image Segmentation By Using Threshold Techniques IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper attempts to undertake the study of segmentation image techniques by using five threshold methods as Mean method, P-tile method, Histogram Dependent Technique (HDT), Edge Maximization Technique (EMT) and visual Technique and they are compared with one another so as to choose the best technique for threshold segmentation techniques image.	Salem Saleh Al-amri; N. V. Kalyankar; Khamitkar S. D.;	arxiv-cs.CV	2010-05-21
172	Automatic Instrument Segmentation In Robot-Assisted Surgery Using Deep Learning IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we describe our winning solution for MICCAI 2017 Endoscopic Vision SubChallenge: Robotic Instrument Segmentation.	Alexey Shvets; Alexander Rakhlin; Alexandr A. Kalinin; Vladimir Iglovikov;	arxiv-cs.CV	2018-03-03
173	SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, deep learning based techniques have been successfully applied to medical image segmentation, which plays an important role in intelligent lesion analysis and …	Gaojuan Fan; Jie Wang; Chongsheng Zhang;	2023 IEEE 36th International Symposium on Computer-Based …	2023-06-01
174	Proceedings Ninth IEEE International Conference on Computer Vision IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The following topics are dealt with: image segmentation; image texture; image motion analysis; object detection; tracking; feature selection; clustering; image reconstruction; …	Flora Ponjou Tasse; Jiri Kosinka; Neil A. Dodgson;	Proceedings Ninth IEEE International Conference on Computer …	2003-01-01
175	Adaptive Pyramid Context Network for Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on this analysis, this paper proposes Adaptive Pyramid Context Network (APCNet) for semantic segmentation.	Junjun He; Zhongying Deng; Lei Zhou; Yali Wang; Yu Qiao;	cvpr	2019-06-14
176	Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Algorithms for object segmentation are crucial in many image processing applications. During past years, active contour models (snakes) have been widely used for finding the …	Christophe Chesnaud; Philippe Réfrégier; Vlady Boulet;	IEEE Trans. Pattern Anal. Mach. Intell.	1999-01-01
177	Mask DINO: Towards A Unified Transformer-Based Framework for Object Detection and Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we present Mask DINO, a unified object detection and segmentation framework.	FENG LI et. al.	cvpr	2023-05-17
178	TensorMask: A Foundation for Dense Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we investigate the paradigm of dense sliding-window instance segmentation, which is surprisingly under-explored.	Xinlei Chen; Ross Girshick; Kaiming He; Piotr Dollar;	iccv	2019-10-24
179	TensorMask: A Foundation For Dense Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we investigate the paradigm of dense sliding-window instance segmentation, which is surprisingly under-explored.	Xinlei Chen; Ross Girshick; Kaiming He; Piotr Dollár;	arxiv-cs.CV	2019-03-28
180	3DMV: Joint 3D-Multi-View Prediction For 3D Semantic Scene Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present 3DMV, a novel method for 3D semantic scene segmentation of RGB-D scans in indoor environments using a joint 3D-multi-view prediction network.	Angela Dai; Matthias Nießner;	arxiv-cs.CV	2018-03-28
181	3DMV: Joint 3D-Multi-View Prediction For 3D Semantic Scene Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present 3DMV, a novel method for 3D semantic scene segmentation of RGB-D scans using a joint 3D-multi-view prediction network.	Angela Dai; Matthias Niessner;	eccv	2018-09-10
182	Deep Projective 3D Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an alternative framework that avoids the limitations of 3D-CNNs.	FELIX JÄREMO LAWIN et. al.	arxiv-cs.CV	2017-05-09
183	Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new DL framework for 3D image segmentation, based on a combination of a fully convolutional network (FCN) and a recurrent neural network (RNN), which are responsible for exploiting the intra-slice and inter-slice contexts, respectively.	Jianxu Chen; Lin Yang; Yizhe Zhang; Mark Alber; Danny Z. Chen;	nips	2016-12-30
184	End-to-End Instance Segmentation With Recurrent Attention IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The proposed model achieves competitive results on the CVPPP, KITTI, and Cityscapes datasets.	Mengye Ren; Richard S. Zemel;	arxiv-cs.LG	2016-05-30
185	Synergistic Use of QuickBird Multispectral Imagery and LIDAR Data for Object-based Forest Species Classification IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View	Yinghai Ke; Lindi J. Quackenbush; Jungho Im;	Remote Sensing of Environment	2010-01-01
186	Fully Convolutional Multi-Class Multiple Instance Learning IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel MIL formulation of multi-class semantic segmentation learning by a fully convolutional network.	Deepak Pathak; Evan Shelhamer; Jonathan Long; Trevor Darrell;	arxiv-cs.CV	2014-12-22
187	Fully Connected Deep Structured Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we unify this two-stage process into a single joint training algorithm.	Alexander G. Schwing; Raquel Urtasun;	arxiv-cs.CV	2015-03-08
188	ISAID: A Large-scale Dataset For Instance Segmentation In Aerial Images IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce the first benchmark dataset for instance segmentation in aerial imagery that combines instance-level object detection and pixel-level segmentation tasks.	SYED WAQAS ZAMIR et. al.	arxiv-cs.CV	2019-05-30
189	ClassMix: Segmentation-Based Data Augmentation For Semi-Supervised Learning IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel data augmentation mechanism called ClassMix, which generates augmentations by mixing unlabelled samples, by leveraging on the network’s predictions for respecting object boundaries.	Viktor Olsson; Wilhelm Tranheden; Juliano Pinto; Lennart Svensson;	arxiv-cs.CV	2020-07-15
190	SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper describes a deep learning approach to semantic segmentation of very high resolution (aerial) images. Deep neural architectures hold the promise of end-to-end learning …	DIMITRIOS MARMANIS et. al.	ISPRS Annals of the Photogrammetry, Remote Sensing and …	2016-01-01
191	Part-aware Prototype Network for Few-shot Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel few-shot semantic segmentation framework based on the prototype representation.	Yongfei Liu; Xiangyi Zhang; Songyang Zhang; Xuming He;	arxiv-cs.CV	2020-07-13
192	Shape-aware Semi-supervised 3D Semantic Segmentation For Medical Images IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel shapeaware semi-supervised segmentation strategy to leverage abundant unlabeled data and to enforce a geometric shape constraint on the segmentation output.	Shuailin Li; Chuyu Zhang; Xuming He;	arxiv-cs.CV	2020-07-21
193	Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation Using High-Resolution Domain Adaptation Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e.g., single cities or regions). Yet these AI models tend to meet the performance bottleneck in the case studies across cities or regions, due to the lack of diverse RS information and cutting-edge solutions with high generalization ability.	DANFENG HONG et. al.	arxiv-cs.CV	2023-09-26
194	Weakly-Supervised Semantic Segmentation By Iteratively Mining Common Object Features IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To bridge this gap, in this paper, we propose an iterative bottom-up and top-down framework which alternatively expands object regions and optimizes segmentation network.	Xiang Wang; Shaodi You; Xi Li; Huimin Ma;	cvpr	2018-06-17
195	The Comparative Research on Image Segmentation Algorithms IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the premise of feature extraction and pattern recognition, image segmentation is one of the fundamental approaches of digital image processing. This paper enumerates and …	Wen-Xiong Kang; Qing-Qiang Yang; Run-Peng Liang;	2009 First International Workshop on Education Technology …	2009-01-01
196	ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a new reality oriented adaptation approach for urban scene semantic segmentation by learning from synthetic data.	Yuhua Chen; Wen Li; Luc Van Gool;	cvpr	2018-06-17
197	SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training On Indoor Segmentation? IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce SceneNet RGB-D, a dataset providing pixel-perfect ground truth for scene understanding problems such as semantic segmentation, instance segmentation, and object detection.	John McCormac; Ankur Handa; Stefan Leutenegger; Andrew J. Davison;	iccv	2017-07-23
198	Mining Cross-Image Semantics For Weakly Supervised Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper studies the problem of learning semantic segmentation from image-level supervision only.	Guolei Sun; Wenguan Wang; Jifeng Dai; Luc Van Gool;	eccv	2020-08-21
199	Universal Adversarial Perturbations Against Semantic Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show empirically that there exist barely perceptible universal noise patterns which result in nearly the same predicted segmentation for arbitrary inputs.	Jan Hendrik Metzen; Mummadi Chaithanya Kumar; Thomas Brox; Volker Fischer;	iccv	2017-07-23
200	Zero-Shot Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce the new task of zero-shot semantic segmentation: learning pixel-wise classifiers for never-seen object categories with zero training examples.	Maxime Bucher; Tuan-Hung VU; Matthieu Cord; Patrick P�rez;	nips	2019-11-15
201	Zero-Shot Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce the new task of zero-shot semantic segmentation: learning pixel-wise classifiers for never-seen object categories with zero training examples. On the two standard segmentation datasets, Pascal-VOC and Pascal-Context, we propose zero-shot benchmarks and set competitive baselines.	Maxime Bucher; Tuan-Hung Vu; Matthieu Cord; Patrick Pérez;	arxiv-cs.CV	2019-06-03
202	Color Clustering and Learning for Image Segmentation Based on Neural Networks IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: An image segmentation system is proposed for the segmentation of color image based on neural networks. In order to measure the color difference properly, image colors are …	Guo Dong; Ming Xie;	IEEE transactions on neural networks	2005-01-01
203	Learning Affinity Via Spatial Propagation Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a spatial propagation networks for learning affinity matrix.	SIFEI LIU et. al.	nips	2017-12-04
204	Medical Image Segmentation Based on U-Net: A Review IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medical image analysis is performed by analyzing images obtained by medical imaging systems to solve clinical problems. The purpose is to extract effective information and improve …	Getao Du; Xu Cao; Jimin Liang; Xueli Chen; Yonghua Zhan;	Journal of Imaging Science and Technology	2020-01-01
205	OneFormer: One Transformer To Rule Universal Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To that end, we propose OneFormer, a universal image segmentation framework that unifies segmentation with a multi-task train-once design.	JITESH JAIN et. al.	cvpr	2023-05-17
206	ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D scan of a scene as input and predicting a complete 3D model along with per-voxel semantic labels.	ANGELA DAI et. al.	cvpr	2018-06-17
207	Instance-Level Salient Object Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a salient instance segmentation method that produces a saliency mask with distinct object instance labels for an input image. To promote further research and evaluation of salient instance segmentation, we also construct a new database of 1000 images and their pixelwise salient instance annotations.	Guanbin Li; Yuan Xie; Liang Lin; Yizhou Yu;	cvpr	2017-06-17
208	Survey on Image Segmentation Techniques IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View	Nida M. Zaitoun; Musbah J. Aqel;	Procedia Computer Science	2015-01-01
209	Dense 3D Semantic Mapping of Indoor Scenes from RGB-D Images IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Dense semantic segmentation of 3D point clouds is a challenging task. Many approaches deal with 2D semantic segmentation and can obtain impressive results. With the availability …	Alexander Hermans; Georgios Floros; Bastian Leibe;	2014 IEEE International Conference on Robotics and …	2014-01-01
210	Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to model structured segmentation data with graphs and apply attentive graph reasoning to propagate label information from support data to query data.	CHI ZHANG et. al.	iccv	2019-10-24
211	UAVid: A Semantic Segmentation Dataset For UAV Imagery IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce our UAVid dataset, a new high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, moving object recognition and temporal consistency preservation.	Ye Lyu; George Vosselman; Guisong Xia; Alper Yilmaz; Michael Ying Yang;	arxiv-cs.CV	2018-10-24
212	PReMVOS: Proposal-generation, Refinement And Merging For Video Object Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Towards this goal, we present the PReMVOS algorithm (Proposal-generation, Refinement and Merging for Video Object Segmentation).	Jonathon Luiten; Paul Voigtlaender; Bastian Leibe;	arxiv-cs.CV	2018-07-24
213	A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The deep learning technology has shown impressive performance in various vision tasks such as image classification, object detection and semantic segmentation. In particular, …	Bo Zhao; Jiashi Feng; Xiao Wu; Shuicheng Yan;	International Journal of Automation and Computing	2017-01-01
214	Zero-Shot Video Object Segmentation Via Attentive Graph Neural Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes a novel attentive graph neural network (AGNN) for zero-shot video object segmentation (ZVOS).	Wenguan Wang; Xiankai Lu; Jianbing Shen; David J. Crandall; Ling Shao;	iccv	2019-10-24
215	Zero-Shot Video Object Segmentation Via Attentive Graph Neural Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes a novel attentive graph neural network (AGNN) for zero-shot video object segmentation (ZVOS).	Wenguan Wang; Xiankai Lu; Jianbing Shen; David Crandall; Ling Shao;	arxiv-cs.CV	2020-01-19
216	Weakly Supervised Instance Segmentation Using Class Peak Response IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle this challenging problem by exploiting class peak responses to enable a classification network for instance mask extraction.	Yanzhao Zhou; Yi Zhu; Qixiang Ye; Qiang Qiu; Jianbin Jiao;	cvpr	2018-06-17
217	Physically-Based Rendering For Indoor Scene Understanding Using Convolutional Neural Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a large-scale synthetic dataset with 400K physically-based rendered images from 45K realistic 3D indoor scenes.	YINDA ZHANG et. al.	arxiv-cs.CV	2016-12-21
218	Road Scene Segmentation from A Single Image IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes …	José Manuel Álvarez; Theo Gevers; Yann LeCun; Antonio M. López;		2012-01-01
219	Exploring Spatial Context For 3D Semantic Segmentation Of Point Clouds IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the question how such an architecture can be extended to incorporate larger-scale spatial context.	Francis Engelmann; Theodora Kontogianni; Alexander Hermans; Bastian Leibe;	arxiv-cs.CV	2018-02-05
220	Hypercorrelation Squeeze for Few-Shot Segmenation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the problem, we propose Hypercorrelation Squeeze Networks (HSNet) that leverages multi-level feature correlation and efficient 4D convolutions.	Juhong Min; Dahyun Kang; Minsu Cho;	iccv	2021-10-08
221	InstanceCut: From Edges To Instances With MultiCut IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We evaluate our approach on the challenging CityScapes dataset.	Alexander Kirillov; Evgeny Levinkov; Bjoern Andres; Bogdan Savchynskyy; Carsten Rother;	cvpr	2017-06-17
222	Performance Analysis of Image Thresholding: Otsu Technique IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View	Ta Yang Goh; Shafriza Nisha Basah; Haniza Yazid; Muhammad Juhairi Aziz Safar; Fathinul Syahir Ahmad Saad;	Measurement	2018-01-01
223	DCAN: Dual Channel-wise Alignment Networks For Unsupervised Scene Adaptation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Dual Channel-wise Alignment Networks (DCAN), a simple yet effective approach to reduce domain shift at both pixel-level and feature-level.	ZUXUAN WU et. al.	eccv	2018-09-10
224	DCAN: Dual Channel-wise Alignment Networks For Unsupervised Scene Adaptation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Dual Channel-wise Alignment Networks (DCAN), a simple yet effective approach to reduce domain shift at both pixel-level and feature-level.	ZUXUAN WU et. al.	arxiv-cs.CV	2018-04-16
225	ACFNet: Attentional Class Feature Network for Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we use two types of base networks to evaluate the effectiveness of ACFNet.	FAN ZHANG et. al.	iccv	2019-10-24
226	Context Prior for Scene Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we directly supervise the feature aggregation to distinguish the intra-class and interclass context clearly.	CHANGQIAN YU et. al.	cvpr	2020-06-08
227	Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we address the problems of contour detection, bottom-up grouping, object detection and semantic segmentation on RGB-D data. We focus on the challenging setting of …	Saurabh Gupta; Pablo Andrés Arbeláez; Ross B. Girshick; Jitendra Malik;	International Journal of Computer Vision	2014-01-01
228	W-Net: A Deep Model For Fully Unsupervised Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we revisit the problem of purely unsupervised image segmentation and propose a novel deep architecture for this problem.	Xide Xia; Brian Kulis;	arxiv-cs.CV	2017-11-22
229	Sonar Image Segmentation Using An Unsupervised Hierarchical MRF Model IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper is concerned with hierarchical Markov random field (MRP) models and their application to sonar image segmentation. We present an original hierarchical segmentation …	Max Mignotte; Christophe Collet; Patrick Pérez; Patrick Bouthemy;	IEEE transactions on image processing : a publication of …	2000-01-01
230	Joint Semantic Segmentation and 3D Reconstruction from Monocular Video IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present an approach for joint inference of 3D scene structure and semantic labeling for monocular video. Starting with monocular image stream, our framework produces a 3D …	Abhijit Kundu; Yin Li; Frank Dellaert; Fuxin Li; James M. Rehg;		2014-01-01
231	Cross-view Semantic Segmentation For Sensing Surroundings IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To facilitate the robot perception with such a surrounding sensing capability, we introduce a novel visual task called Cross-view Semantic Segmentation as well as a framework named View Parsing Network (VPN) to address it.	Bowen Pan; Jiankai Sun; Ho Yin Tiga Leung; Alex Andonian; Bolei Zhou;	arxiv-cs.CV	2019-06-09
232	Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore data-efficient learning for 3D point cloud.	Ji Hou; Benjamin Graham; Matthias Nießner; Saining Xie;	arxiv-cs.CV	2020-12-16
233	Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore data-efficient learning for 3D point cloud.	Ji Hou; Benjamin Graham; Matthias Niessner; Saining Xie;	cvpr	2021-06-11
234	Customized Segment Anything Model for Medical Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SAMed, a general solution for medical image segmentation.	Kaidong Zhang; Dong Liu;	arxiv-cs.CV	2023-04-26
235	ReSeg: A Recurrent Neural Network-based Model For Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a structured prediction architecture, which exploits the local generic features extracted by Convolutional Neural Networks and the capacity of Recurrent Neural Networks (RNN) to retrieve distant dependencies.	FRANCESCO VISIN et. al.	arxiv-cs.CV	2015-11-22
236	Joint 3D Scene Reconstruction And Class Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we argue that image segmentation and dense 3D reconstruction contribute valuable information to each other’s task.	Christian Hane; Christopher Zach; Andrea Cohen; Roland Angst; Marc Pollefeys;	cvpr	2013-07-25
237	Region-based Segmentation and Object Detection IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a hierarchical region-based approach to joint object detection and image segmentation.	Stephen Gould; Tianshi Gao; Daphne Koller;	nips	2009-12-30
238	A Survey Of Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey gives an overview over different techniques used for pixel-level semantic segmentation.	Martin Thoma;	arxiv-cs.CV	2016-02-21
239	Co-Occurrent Features in Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we go beyond global context and explore the fine-grained representation using co-occurrent features by introducing Co-occurrent Feature Model, which predicts the distribution of co-occurrent features for a given target.	Hang Zhang; Han Zhang; Chenguang Wang; Junyuan Xie;	cvpr	2019-06-14
240	Boundary-Aware Feature Propagation for Scene Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address the challenging issue of scene segmentation.	Henghui Ding; Xudong Jiang; Ai Qun Liu; Nadia Magnenat Thalmann; Gang Wang;	iccv	2019-10-24
241	Dynamic Multi-Scale Filters for Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address these problems, this paper proposes a Dynamic Multi-scale Network (DMNet) to adaptively capture multi-scale contents for predicting pixel-level semantic labels.	Junjun He; Zhongying Deng; Yu Qiao;	iccv	2019-10-24
242	Associatively Segmenting Instances and Semantics in Point Clouds IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we first introduce a simple and flexible framework to segment instances and semantics in point clouds simultaneously. Then, we propose two approaches which make the two tasks take advantage of each other, leading to a win-win situation.	Xinlong Wang; Shu Liu; Xiaoyong Shen; Chunhua Shen; Jiaya Jia;	cvpr	2019-06-14
243	Learning Random-walk Label Propagation For Weakly-supervised Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel training approach to address this difficulty.	Paul Vernaza; Manmohan Chandraker;	arxiv-cs.CV	2018-02-01
244	Atlas: End-to-End 3D Scene Reconstruction From Posed Images IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an end-to-end 3D reconstruction method for a scene by directly regressing a truncated signed distance function (TSDF) from a set of posed RGB images.	ZAK MUREZ et. al.	arxiv-cs.CV	2020-03-23
245	All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we tackle the problem of unsupervised domain adaptation for the task of semantic segmentation, where we attempt to transfer the knowledge learned upon synthetic datasets with ground-truth labels to real-world images without any annotation.	Wei-Lun Chang; Hui-Po Wang; Wen-Hsiao Peng; Wei-Chen Chiu;	cvpr	2019-06-14
246	Proposal-free Network For Instance-level Object Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a Proposal-Free Network (PFN ) to address the instance-level object segmentation problem, which outputs the instance numbers of different categories and the pixel-level information on 1) the coordinates of the instance bounding box each pixel belongs to, and 2) the confidences of different categories for each pixel, based on pixel-to-pixel deep convolutional neural network.	XIAODAN LIANG et. al.	arxiv-cs.CV	2015-09-09
247	Pixelwise Instance Segmentation With A Dynamically Instantiated Network IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an Instance Segmentation system that produces a segmentation map where each pixel is assigned an object class and instance identity label.	Anurag Arnab; Philip H. S. Torr;	cvpr	2017-06-17
248	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike previous modality-specific methods, in this work, we propose a unified fusion framework, CMX, for RGB-X semantic segmentation.	JIAMING ZHANG et. al.	arxiv-cs.CV	2022-03-09
249	Improving Semantic Segmentation Via Decoupled Body And Edge Supervision IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a new paradigm for semantic segmentation is proposed.	XIANGTAI LI et. al.	eccv	2020-08-21
250	Pixelwise Instance Segmentation With A Dynamically Instantiated Network IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an Instance Segmentation system that produces a segmentation map where each pixel is assigned an object class and instance identity label.	Anurag Arnab; Philip H. S Torr;	arxiv-cs.CV	2017-04-07
251	Sparse Single Sweep LiDAR Point Cloud Segmentation Via Learning Contextual Shape Priors from Scene Completion IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel sparse LiDAR point cloud semantic segmentation framework assisted by learned contextual shape priors.	XU YAN et. al.	aaai	2021-02-09
252	Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a self-ensembling technique, one of the successful methods for domain adaptation in classification.	Jaehoon Choi; Taekyung Kim; Changick Kim;	iccv	2019-10-24
253	Evolution Of Image Segmentation Using Deep Convolutional Neural Network: A Survey IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this survey, we are going to take a glance at the evolution of both semantic and instance segmentation work based on CNN.	Farhana Sultana; Abu Sufian; Paramartha Dutta;	arxiv-cs.CV	2020-01-13
254	Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an approach to cross-domain semantic segmentation with the auxiliary geometric information, which can also be easily obtained from virtual environments.	Yuhua Chen; Wen Li; Xiaoran Chen; Luc Van Gool;	cvpr	2019-06-14
255	Collaborative Video Object Segmentation By Foreground-Background Integration IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation.	Zongxin Yang; Yunchao Wei; Yi Yang;	eccv	2020-08-21
256	Minimal Surfaces Based Object Segmentation IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A geometric approach for 3D object segmentation and representation is presented. The segmentation is obtained by deformable surfaces moving towards the objects to be detected in …	Vicent Caselles; Ron Kimmel; Guillermo Sapiro; Catalina Sbert;	IEEE Trans. Pattern Anal. Mach. Intell.	1997-01-01
257	FusionNet: A Deep Fully Residual Convolutional Neural Network For Image Segmentation In Connectomics IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel deep neural network architecture, FusionNet, for the automatic segmentation of neuronal structures in connectomics data.	Tran Minh Quan; David G. C. Hildebrand; Won-Ki Jeong;	arxiv-cs.CV	2016-12-15
258	Self-Supervised Model Adaptation For Multimodal Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this limitation, we propose a mutimodal semantic segmentation framework that dynamically adapts the fusion of modality-specific features while being sensitive to the object category, spatial location and scene context in a self-supervised manner.	Abhinav Valada; Rohit Mohan; Wolfram Burgard;	arxiv-cs.CV	2018-08-11
259	Efficient Deep Models for Monocular Road Segmentation IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper addresses the problem of road scene segmentation in conventional RGB images by exploiting recent advances in semantic segmentation via convolutional neural networks …	Gabriel L. Oliveira; Wolfram Burgard; Thomas Brox;	2016 IEEE/RSJ International Conference on Intelligent …	2016-01-01
260	Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To tackle this problem, we proposed a family of efficient backbones specially designed for real-time semantic segmentation.	Yuanduo Hong; Huihui Pan; Weichao Sun; Yisong Jia;	arxiv-cs.CV	2021-01-15
261	Diffusion Models for Implicit Image Segmentation Ensembles IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel semantic segmentation method based on diffusion models.	Julia Wolleb; Robin Sandkühler; Florentin Bieder; Philippe Valmaggia; Philippe C. Cattin;	arxiv-cs.CV	2021-12-06
262	(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To alleviate this problem, we propose AF2-S3Net, an end-to-end encoder-decoder CNN network for 3D LiDAR semantic segmentation.	Ran Cheng; Ryan Razani; Ehsan Taghavi; Enxu Li; Bingbing Liu;	cvpr	2021-06-11
263	Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Weakly-supervised image segmentation is a challenging problem with multidisciplinary applications in multimedia content analysis and beyond. It aims to segment an image by …	LUMING ZHANG et. al.	IEEE Transactions on Multimedia	2014-01-01
264	Convolutional Oriented Boundaries: From Image Segmentation To High-Level Tasks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs).	Kevis-Kokitsi Maninis; Jordi Pont-Tuset; Pablo Arbeláez; Luc Van Gool;	arxiv-cs.CV	2017-01-17
265	Beyond Pixels: A Comprehensive Survey From Bottom-up To Semantic Image Segmentation And Cosegmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We aim to provide a comprehensive review of the recent progress in this field.	Hongyuan Zhu; Fanman Meng; Jianfei Cai; Shijian Lu;	arxiv-cs.CV	2015-02-02
266	Single-Stage Semantic Segmentation From Image Labels IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we first define three desirable properties of a weakly supervised method: local consistency, semantic fidelity, and completeness. Using these properties as guidelines, we then develop a segmentation-based network model and a self-supervised training scheme to train for semantic masks from image-level annotations in a single stage.	Nikita Araslanov; Stefan Roth;	cvpr	2020-06-08
267	Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a stochastic clustering algorithm which uses pairwise similarity of elements and show how it can be used to address various problems in computer vision, including the …	Yoram Gdalyahu; Daphna Weinshall; Michael Werman;	IEEE Trans. Pattern Anal. Mach. Intell.	2001-01-01
268	Medical Image Segmentation Using New Hybrid Level-Set Method IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, a new hybrid medical image segmentation method in the level-set framework is proposed. The method uses both the objectpsilas boundary and region information to …	Yan Zhang; B.J. Matuszewski; L.-K. Shark; C.J. Moore;	2008 Fifth International Conference BioMedical …	2008-01-01
269	Object Localization and Border Detection Criteria Design in Edge-based Image Segmentation: Automated Learning from Examples IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper provides methodology for fully automated model-based image segmentation. All information necessary to perform image segmentation is automatically derived from a …	Marek Brejl; Milan Sonka;	IEEE Transactions on Medical Imaging	2000-01-01
270	Perceptual Organization for Scene Segmentation and Description IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A data-driven system for segmenting scenes into objects and their components is presented. This segmentation system generates hierarchies of features that correspond to structural …	R. Mohan; R. Nevatia;	IEEE Trans. Pattern Anal. Mach. Intell.	1992-01-01
271	Image Segmentation Techniques: A Survey IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is a mechanism used to divide an image into multiple segments. It will make image smooth and easy to evaluate. Segmentation process also helps to find region of …	Waseem Khan;	Journal of Image and Graphics	2014-01-01
272	Neural Network Approach to Background Modeling for Video Object Segmentation IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a novel background modeling and subtraction approach for video object segmentation. A neural network (NN) architecture is proposed to form an unsupervised …	Dubravko Culibrk; Oge Marques; Daniel Socek; Hari Kalva; Borko Furht;	IEEE Transactions on Neural Networks	2007-01-01
273	Methods and Datasets on Semantic Segmentation: A Review IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View	HONGSHAN YU et. al.	Neurocomputing	2018-01-01
274	Residual Conv-Deconv Grid Network For Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents GridNet, a new Convolutional Neural Network (CNN) architecture for semantic image segmentation (full scene labelling).	DAMIEN FOURURE et. al.	arxiv-cs.CV	2017-07-25
275	Semantic Projection Network for Zero- and Few-Label Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we take this one step further and focus on the challenging task of zero- and few-shot learning of semantic segmentation.	Yongqin Xian; Subhabrata Choudhury; Yang He; Bernt Schiele; Zeynep Akata;	cvpr	2019-06-14
276	Multiple View Semantic Segmentation For Street View Images IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a simple but powerful multi-view semantic segmentation framework for images captured by a camera mounted on a car driving along streets.	J. Xiao and L. Quan;	iccv	2009-10-29
277	Object-of-interest Image Segmentation Based on Human Attention and Semantic Region Clustering IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a novel object-of-interest (OOI) segmentation algorithm for various images that is based on human attention and semantic region clustering. As object-based image …	Byoung Chul Ko; Jae-Yeal Nam;	Journal of the Optical Society of America. A, Optics, image …	2006-01-01
278	Image-based Street-side City Modeling IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose an automatic approach to generate street-side 3D photo-realistic models from images captured along the streets at ground level. We first develop a multi-view semantic …	Jianxiong Xiao; Tian Fang; Peng Zhao; Maxime Lhuillier; Long Quan;	ACM Trans. Graph.	2009-01-01
279	Local Transforms for Biomedical Image Analysis IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View	James M. Lester; John F. Brenner; William D. Selles;	Computer Graphics and Image Processing	1980-01-01
280	]Video Object Segmentation By Hypergraph Cut IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new framework of video object segmentation, in which we formulate the task of extracting prominent objects from a scene as the problem of hypergraph cut.	Y. Huang; Q. Liu and D. Metaxas;	cvpr	2009-06-08
281	Foreground-Aware Relation Network For Geospatial Object Segmentation In High Spatial Resolution Remote Sensing Imagery IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we argue that the problems lie on the lack of foreground modeling and propose a foreground-aware relation network (FarSeg) from the perspectives of relation-based and optimization-based foreground modeling, to alleviate the above two problems.	Zhuo Zheng; Yanfei Zhong; Junjue Wang; Ailong Ma;	arxiv-cs.CV	2020-11-19
282	Large-Scale Interactive Object Segmentation With Human Annotators IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we make several contributions to interactive segmentation: (1) we systematically explore in simulation the design space of deep interactive segmentation models and report new insights and caveats; (2) we execute a large-scale annotation campaign with real human annotators, producing masks for 2.5M instances on the OpenImages dataset. We released this data publicly, forming the largest existing dataset for instance segmentation.	Rodrigo Benenson; Stefan Popov; Vittorio Ferrari;	cvpr	2019-06-14
283	Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new approach, called self-motivated pyramid curriculum domain adaptation (PyCDA), to facilitate the adaptation of semantic segmentation neural networks from synthetic source domains to real target domains.	Qing Lian; Fengmao Lv; Lixin Duan; Boqing Gong;	iccv	2019-10-24
284	Generalized Decoding for Pixel, Image, and Language IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present X-Decoder, a generalized decoding model that can predict pixel-level segmentation and language tokens seamlessly.	XUEYAN ZOU et. al.	cvpr	2023-05-17
285	Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This manipulation is realized in an anti-adversarial manner, which perturbs the original images along pixel gradients in the opposite direction from those used in an adversarial attack.	Jungbeom Lee; Eunji Kim; Sungroh Yoon;	cvpr	2021-06-11
286	Neonatal Brain Image Segmentation in Longitudinal MRI Studies IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View	FENG SHI et. al.	NeuroImage	2010-01-01
287	FloodNet: A High Resolution Aerial Imagery Dataset For Post Flood Scene Understanding IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we compare and contrast the performances of baseline methods for image classification, semantic segmentation, and visual question answering on our dataset.	MARYAM RAHNEMOONFAR et. al.	arxiv-cs.CV	2020-12-05
288	Evaluating Bayesian Deep Learning Methods For Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we propose three such metrics to evaluate BDL models designed specifically for the task of semantic segmentation.	Jishnu Mukhoti; Yarin Gal;	arxiv-cs.CV	2018-11-30
289	Seamless Scene Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we introduce a novel, CNN-based architecture that can be trained end-to-end to deliver seamless scene segmentation results.	Lorenzo Porzi; Samuel Rota Bulò; Aleksander Colovic; Peter Kontschieder;	arxiv-cs.CV	2019-05-03
290	Seamless Scene Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we introduce a novel, CNN-based architecture that can be trained end-to-end to deliver seamless scene segmentation results.	Lorenzo Porzi; Samuel Rota Bulo; Aleksander Colovic; Peter Kontschieder;	cvpr	2019-06-14
291	Integral Object Mining Via Online Attention Accumulation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In order to accumulate the discovered different object parts, we propose an online attention accumulation (OAA) strategy which maintains a cumulative attention map for each target category in each training image so that the integral object regions can be gradually promoted as the training goes.	PENG-TAO JIANG et. al.	iccv	2019-10-24
292	Medical Image Segmentation IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is an essential but critical component in low level vision image analysis, pattern recognition, and in robotic systems. It is one of the most difficult and …	H. S. Prasantha; Dr. Shashidhara; Dr. K. N. B. Murthy; Madhavi Lata;		2008-01-01
293	Scene Parsing With Multiscale Feature Learning, Purity Trees, And Optimal Covers IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The scene parsing method proposed here starts by computing a tree of segments from a graph of pixel dissimilarities.	Clément Farabet; Camille Couprie; Laurent Najman; Yann LeCun;	arxiv-cs.CV	2012-02-09
294	Predicting Ground-Level Scene Layout From Aerial Imagery IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel strategy for learning to extract semantically meaningful features from aerial imagery.	Menghua Zhai; Zachary Bessinger; Scott Workman; Nathan Jacobs;	cvpr	2017-06-17
295	Scene Detection In Hollywood Movies And TV Shows IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel two-pass algorithm for scene boundary detection, which utilizes the motion content, shot length and color properties of shots as the features.	Z. Rasheed and M. Shah;	cvpr	2003-06-08
296	Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled By Markov Random Fields IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A new image segmentation algorithm is presented, based on recursive Bayes smoothing of images modeled by Markov random fields and corrupted by independent additive noise. The …	Haluk Derin; Howard Elliott; Roberto Cristi; Donald Geman;	IEEE Transactions on Pattern Analysis and Machine …	1984-01-01
297	CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation Via Global and Local Refinement IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel approach to address the high-resolution segmentation problem without using any high-resolution training data.	Ho Kei Cheng; Jihoon Chung; Yu-Wing Tai; Chi-Keung Tang;	cvpr	2020-06-08
298	RedNet: Residual Encoder-Decoder Network For Indoor RGB-D Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an RGB-D residual encoder-decoder architecture, named RedNet, for indoor RGB-D semantic segmentation.	Jindong Jiang; Lunan Zheng; Fei Luo; Zhijun Zhang;	arxiv-cs.CV	2018-06-04
299	JSIS3D: Joint Semantic-Instance Segmentation Of 3D Point Clouds With Multi-Task Pointwise Networks And Multi-Value Conditional Random Fields IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we jointly address the problems of semantic and instance segmentation of 3D point clouds.	Quang-Hieu Pham; Duc Thanh Nguyen; Binh-Son Hua; Gemma Roig; Sai-Kit Yeung;	arxiv-cs.CV	2019-04-01
300	JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we jointly address the problems of semantic and instance segmentation of 3D point clouds.	Quang-Hieu Pham; Thanh Nguyen; Binh-Son Hua; Gemma Roig; Sai-Kit Yeung;	cvpr	2019-06-14
301	Clothing Co-Parsing By Joint Image Segmentation And Labeling IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a data-driven framework consisting of two phases of inference.	Wei Yang; Ping Luo; Liang Lin;	arxiv-cs.CV	2015-02-02
302	An Improved Segmentation Method for In Vivo ΜCT Imaging IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation methods for μCT can influence the accuracy of bone morphometry calculations. A new automated segmentation method is introduced, and its performance is compared …	J. Waarsing; J. Day; H. Weinans;	Journal of Bone and Mineral Research	2004-10-01
303	AdapNet: Adaptive Semantic Segmentation in Adverse Environmental Conditions IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Robust scene understanding of outdoor environments using passive optical sensors is a onerous and essential task for autonomous navigation. The problem is heavily characterized by …	Abhinav Valada; Johan Vertens; Ankit Dhall; Wolfram Burgard;	2017 IEEE International Conference on Robotics and …	2017-01-01
304	Learning Unsupervised Video Object Segmentation Through Visual Attention IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper conducts a systematic study on the role of visual attention in Unsupervised Video Object Segmentation (UVOS) tasks.	WENGUAN WANG et. al.	cvpr	2019-06-14
305	CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To leverage this information, we propose an end-to-end cross-image affinity module, which exploits pixel-level cross-image relationships with only image-level labels.	Junsong Fan; Zhaoxiang Zhang; Tieniu Tan; Chunfeng Song; Jun Xiao;	aaai	2020-02-07
306	Semantic Segmentation of Urban Scenes Using Dense Depth Maps IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five view-independent 3D features that vary with object class are …	Chenxi Zhang; Liang Wang; Ruigang Yang;		2010-01-01
307	Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an efficient and robust RGB-D segmentation approach that can be optimized to a high degree using NVIDIA TensorRT and, thus, is well suited as a common initial processing step in a complex system for scene analysis on mobile robots.	Daniel Seichter; Mona Köhler; Benjamin Lewandowski; Tim Wengefeld; Horst-Michael Gross;	arxiv-cs.CV	2020-11-13
308	Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic scene understanding of unstructured environments is a highly challenging task for robots operating in the real world. Deep Convolutional Neural Network architectures …	Abhinav Valada; Gabriel L. Oliveira; Thomas Brox; Wolfram Burgard;		2016-01-01
309	Image Segmentation Evaluation: A Survey of Methods IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is a prerequisite for image processing. There are many methods for image segmentation, and as a result, a great number of methods for evaluating segmentation …	Zhaobin Wang; E. Wang; Ying Zhu;	Artificial Intelligence Review	2020-01-01
310	3D Segmentation With Exponential Logarithmic Loss For Highly Unbalanced Object Sizes IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a network architecture and the corresponding loss function which improve segmentation of very small structures.	Ken C. L. Wong; Mehdi Moradi; Hui Tang; Tanveer Syeda-Mahmood;	arxiv-cs.CV	2018-08-31
311	Locality-Sensitive Deconvolution Networks With Gated Fusion For RGB-D Indoor Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Towards RGB-D fusion, we introduce a gated fusion layer to effectively combine the two LS-DeconvNets.	Yanhua Cheng; Rui Cai; Zhiwei Li; Xin Zhao; Kaiqi Huang;	cvpr	2017-06-17
312	Self-Supervision With Superpixels: Training Few-shot Medical Image Segmentation Without Annotation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this problem we make several contributions: (1) A novel self-supervised FSS framework for medical images in order to eliminate the requirement for annotations during training.	CHENG OUYANG et. al.	arxiv-cs.CV	2020-07-20
313	Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we harness the image-level labels to produce reliable pixel-level annotations and design a fully end-to-end network to learn to predict segmentation maps.	Bingfeng Zhang; Jimin Xiao; Yunchao Wei; Mingjie Sun; Kaizhu Huang;	aaai	2020-02-07
314	Retina U-Net: Embarrassingly Simple Exploitation Of Segmentation Supervision For Medical Object Detection IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Retina U-Net, a simple architecture, which naturally fuses the Retina Net one-stage detector with the U-Net architecture widely used for semantic segmentation in medical images.	PAUL F. JAEGER et. al.	arxiv-cs.CV	2018-11-21
315	Video Segmentation By Tracing Discontinuities In A Trajectory Embedding IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal is to segment a video sequence into moving objects and the world scene.	K. Fragkiadaki; G. Zhang and J. Shi;	cvpr	2012-06-08
316	PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel fusion approach named Point-based Attentive Cont-conv Fusion(PACF) module, which fuses multi-sensor features directly on 3D points.	LIANG XIE et. al.	aaai	2020-02-07
317	Semantic Segmentation With Boundary Neural Fields IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To overcome these problems, we introduce a Boundary Neural Field (BNF), which is a global energy model integrating FCN predictions with boundary cues.	Gedas Bertasius; Jianbo Shi; Lorenzo Torresani;	cvpr	2016-06-23
318	MSeg: A Composite Dataset for Multi-domain Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present MSeg, a composite dataset that unifies semantic segmentation datasets from different domains.	John Lambert; Zhuang Liu; Ozan Sener; James Hays; Vladlen Koltun;	arxiv-cs.CV	2021-12-27
319	Adaptive Affinity Fields For Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Instead of learning to enforce semantic labels on individual pixels, we propose to enforce affinity field patterns in individual pixel neighbourhoods, i.e., the semantic label patterns of whether neighbour pixels are in the same segment should match between the prediction and the ground-truth.	Tsung-Wei Ke; Jyh-Jing Hwang; Ziwei Liu; Stella X. Yu;	eccv	2018-09-10
320	Pyramidal Convolution: Rethinking Convolutional Neural Networks For Visual Recognition IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work introduces pyramidal convolution (PyConv), which is capable of processing the input at multiple filter scales.	Ionut Cosmin Duta; Li Liu; Fan Zhu; Ling Shao;	arxiv-cs.CV	2020-06-20
321	A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To remedy the discrepancy in processing granularity, we refuse the use of the prevalent one-stage FCN based framework, and advocate a two-stage semantic segmentation framework, with the first stage extracting generalizable mask proposals and the second stage leveraging an image based CLIP model to perform open-vocabulary classification on the masked image crops which are generated in the first stage.	MENGDE XU et. al.	arxiv-cs.CV	2021-12-29
322	Benchmarking Image Segmentation Algorithms IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a thorough quantitative evaluation of four image segmentation algorithms on images from the Berkeley Segmentation Database. The algorithms are evaluated using an …	Francisco J. Estrada; Allan D. Jepson;	International Journal of Computer Vision	2009-01-01
323	BlitzNet: A Real-Time Deep Network For Scene Understanding IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a deep architecture, called BlitzNet, that jointly performs object detection and semantic segmentation in one forward pass, allowing real-time computations.	Nikita Dvornik; Konstantin Shmelkov; Julien Mairal; Cordelia Schmid;	arxiv-cs.CV	2017-08-09
324	EditGAN: High-Precision Semantic Image Editing IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we propose EditGAN, a novel method for high-quality, high-precision semantic image editing, allowing users to edit images by modifying their highly detailed part segmentation masks, e.g., drawing a new mask for the headlight of a car.	HUAN LING et. al.	nips	2021-11-20
325	Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To incorporate point features in the edge branch, we establish a hierarchical graph framework, where the graph is initialized from a coarse layer and gradually enriched along the point decoding process.	LI JIANG et. al.	iccv	2019-10-24
326	Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we argue that the critical factor preventing to obtain the full object mask is the classification boundary mismatch problem in applying the CAM to WSSS.	Junsong Fan; Zhaoxiang Zhang; Chunfeng Song; Tieniu Tan;	cvpr	2020-06-08
327	Track Anything: Segment Anything Meets Videos IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Regarding its strong ability on image segmentation and high interactivity with different prompts, we found that it performs poorly on consistent segmentation in videos. Therefore, in this report, we propose Track Anything Model (TAM), which achieves high-performance interactive tracking and segmentation in videos.	JINYU YANG et. al.	arxiv-cs.CV	2023-04-24
328	Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel weakly supervised curriculum learning pipeline for multi-label object recognition, detection and semantic segmentation.	Weifeng Ge; Sibei Yang; Yizhou Yu;	cvpr	2018-06-17
329	DeeperLab: Single-Shot Image Parser IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a single-shot, bottom-up approach for whole image parsing.	TIEN-JU YANG et. al.	arxiv-cs.CV	2019-02-13
330	Weakly Supervised Adversarial Domain Adaptation For Semantic Segmentation In Urban Scenes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a weakly supervised adversarial domain adaptation to improve the segmentation performance from synthetic data to real scenes, which consists of three deep neural networks.	Qi Wang; Junyu Gao; Xuelong Li;	arxiv-cs.CV	2019-04-19
331	GFF: Gated Fully Fusion For Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new architecture, named Gated Fully Fusion (GFF), to selectively fuse features from multiple levels using gates in a fully connected way.	Xiangtai Li; Houlong Zhao; Lei Han; Yunhai Tong; Kuiyuan Yang;	arxiv-cs.CV	2019-04-03
332	Few-Shot Semantic Segmentation With Democratic Attention Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the Democratic Attention Network (DAN) for few-shot semantic segmentation.	HAOCHEN WANG et. al.	eccv	2020-08-21
333	Optical Flow With Semantic Segmentation And Localized Layers IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We define different models of image motion in these regions depending on the type of object. We then pose the flow estimation problem using a novel formulation of localized layers, which addresses limitations of traditional layered models for dealing with complex scene motion.	Laura Sevilla-Lara; Deqing Sun; Varun Jampani; Michael J. Black;	cvpr	2016-06-23
334	Object Stereo — Joint Stereo Matching and Object Segmentation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially …	M. Bleyer; C. Rother; Pushmeet Kohli; D. Scharstein; Sudipta N. Sinha;	CVPR 2011	2011-06-20
335	Automatic 3D Object Segmentation in Multiple Views Using Volumetric Graph-cuts IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View	Neill D. F. Campbell; George Vogiatzis; Carlos Hernández; Roberto Cipolla;	Image Vis. Comput.	2010-01-01
336	Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we equip the adversarial network with a significance-aware information bottleneck (SIB), to address the above problem.	Yawei Luo; Ping Liu; Tao Guan; Junqing Yu; Yi Yang;	iccv	2019-10-24
337	Synscapes: A Photorealistic Synthetic Dataset For Street Scene Parsing IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Synscapes — a synthetic dataset for street scene parsing created using photorealistic rendering techniques, and show state-of-the-art results for training and validation as well as new types of analysis.	Magnus Wrenninge; Jonas Unger;	arxiv-cs.CV	2018-10-19
338	A VOP Generation Tool: Automatic Segmentation of Moving Objects in Image Sequences Based on Spatio-temporal Information IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The new MPEG-4 video coding standard enables content-based functionalities. In order to support the philosophy of the MPEG-4 visual standard, each frame of video sequences should …	MUNCHURL KIM et. al.	IEEE Trans. Circuits Syst. Video Technol.	1999-01-01
339	PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new framework for semantic segmentation without annotations via clustering.	Jang Hyun Cho; Utkarsh Mall; Kavita Bala; Bharath Hariharan;	cvpr	2021-06-11
340	Cross-View Image Synthesis Using Conditional GANs IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we attempt to solve the novel problem of cross-view image synthesis, aerial to street-view and vice versa, using conditional generative adversarial networks (cGAN).	Krishna Regmi; Ali Borji;	cvpr	2018-06-17
341	Unsupervised Domain Adaptation Using Generative Adversarial Networks For Semantic Segmentation Of Aerial Images IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address this issue and consider the challenge of domain adaptation in semantic segmentation of aerial images.	Bilel Benjdira; Yakoub Bazi; Anis Koubaa; Kais Ouni;	arxiv-cs.CV	2019-05-08
342	SegGPT: Segmenting Everything In Context IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present SegGPT, a generalist model for segmenting everything in context.	XINLONG WANG et. al.	arxiv-cs.CV	2023-04-06
343	Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a non-salient region object mining approach for weakly supervised semantic segmentation.	YAZHOU YAO et. al.	cvpr	2021-06-11
344	Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a non-salient region object mining approach for weakly supervised semantic segmentation.	YAZHOU YAO et. al.	arxiv-cs.CV	2021-03-26
345	SPG-Net: Segmentation Prediction And Guidance Network For Image Inpainting IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on image inpainting task, aiming at recovering the missing area of an incomplete image given the context information.	YUHANG SONG et. al.	arxiv-cs.CV	2018-05-08
346	Toronto-3D: A Large-scale Mobile LiDAR Dataset For Semantic Segmentation Of Urban Roadways IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Toronto-3D, a large-scale urban outdoor point cloud dataset acquired by a MLS system in Toronto, Canada for semantic segmentation.	WEIKAI TAN et. al.	arxiv-cs.CV	2020-03-18
347	Scene Parsing By Integrating Function, Geometry And Appearance Models IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an algorithm to parse indoor images based on two observations: i) The functionality is the most essential property to define an indoor object, e.g. a chair to sit on; ii) The geometry (3D shape) of an object is designed to serve its function.	Yibiao Zhao; Song-Chun Zhu;	cvpr	2013-07-25
348	Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we propose a unified multi-task learning framework to jointly solve WSSS and SD using a single network, i.e. saliency and segmentation network (SSNet).	Yu Zeng; Yunzhi Zhuge; Huchuan Lu; Lihe Zhang;	iccv	2019-10-24
349	A Color Image Segmentation Algorithm Based on Region Growing IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques. With the improvement of computer …	Jun Tang;	2010 2nd International Conference on Computer Engineering …	2010-01-01
350	Remote Sensing Image Segmentation Advances: A Meta-analysis IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	Ioannis Kotaridis; Maria Lazaridou;	Isprs Journal of Photogrammetry and Remote Sensing	2021-01-01
351	Semantic Instance Annotation Of Street Scenes By 3D To 2D Label Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to tackle this problem by lifting the semantic instance labeling task from 2D into 3D.	Jun Xie; Martin Kiefel; Ming-Ting Sun; Andreas Geiger;	arxiv-cs.CV	2015-11-10
352	SCAttNet: Semantic Segmentation Network With Spatial And Channel Attention Mechanism For High-Resolution Remote Sensing Images IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new end-to-end semantic segmentation network, which integrates lightweight spatial and channel attention modules that can refine features adaptively.	HAIFENG LI et. al.	arxiv-cs.CV	2019-12-19
353	A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D Images IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this survey, we mainly focus on the recent scientific developments in semantic segmentation, specifically on deep learning-based methods using 2D images.	Irem Ulku; Erdem Akagunduz;	arxiv-cs.CV	2019-12-21
354	A Review of Deep Learning-Based Semantic Segmentation for Point Cloud IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the popularity of depth sensors and 3D scanners has led to a rapid development of 3D point clouds. Semantic segmentation of point cloud, as a key step in …	Jiaying Zhang; Xiaoli Zhao; Zheng Chen; Zhejun Lu;	IEEE Access	2019-01-01
355	Semantic Segmentation Of Underwater Imagery: Dataset And Benchmark IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present the first large-scale dataset for semantic Segmentation of Underwater IMagery (SUIM).	MD JAHIDUL ISLAM et. al.	arxiv-cs.CV	2020-04-02
356	Learning Transferrable Knowledge For Semantic Segmentation With Deep Convolutional Neural Network IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel weakly-supervised semantic segmentation algorithm based on Deep Convolutional Neural Net- work (DCNN).	Seunghoon Hong; Junhyuk Oh; Honglak Lee; Bohyung Han;	cvpr	2016-06-23
357	Learning Transferrable Knowledge For Semantic Segmentation With Deep Convolutional Neural Network IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel weakly-supervised semantic segmentation algorithm based on Deep Convolutional Neural Network (DCNN).	Seunghoon Hong; Junhyuk Oh; Bohyung Han; Honglak Lee;	arxiv-cs.CV	2015-12-24
358	Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we revisit the spatial shuffle as an efficient way to build connections among windows.	ZILONG HUANG et. al.	arxiv-cs.CV	2021-06-07
359	Video Segmentation Based on Multiple Features for Interactive Multimedia Applications IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a scheme for interactive video segmentation. A key feature of the system is the distinction between two levels of segmentation, namely, regions and object segmentation. …	Roberto Castagno; Touradj Ebrahimi; Murat Kunt;	IEEE Trans. Circuits Syst. Video Technol.	1998-01-01
360	Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, ViTs are mainly designed for image classification that generate single-scale low-resolution representations, which makes dense prediction tasks such as semantic segmentation challenging for ViTs. Therefore, we propose HRViT, which enhances ViTs to learn semantically-rich and spatially-precise multi-scale representations by integrating high-resolution multi-branch architectures with ViTs.	JIAQI GU et. al.	cvpr	2022-06-07
361	AdaptIS: Adaptive Instance Selection Network IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Adaptive Instance Selection network architecture for class-agnostic instance segmentation.	Konstantin Sofiiuk; Olga Barinova; Anton Konushin;	iccv	2019-10-24
362	Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address the problem of moving object segmentation from 3D LiDAR scans. Additionally, we created a new benchmark for LiDAR-based moving object segmentation based on SemanticKITTI.	XIEYUANLI CHEN et. al.	arxiv-cs.RO	2021-05-19
363	Bridging Category-level And Instance-level Semantic Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an approach to instance-level image segmentation that is built on top of category-level segmentation.	Zifeng Wu; Chunhua Shen; Anton van den Hengel;	arxiv-cs.CV	2016-05-22
364	Towards Weakly Supervised Semantic Segmentation By Means Of Multiple Instance And Multitask Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our aim is to devise a system that predicts an object label for each pixel by making use of only image level labels during training – the information whether a certain object is present or not in the image.	A. Vezhnevets and J. M. Buhmann;	cvpr	2010-06-08
365	HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network That Achieves Over 0.9 Mean Dice and 86 FPS IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new convolution neural network called HarDNet-MSEG for polyp segmentation.	Chien-Hsiang Huang; Hung-Yu Wu; Youn-Long Lin;	arxiv-cs.CV	2021-01-18
366	Multi-Scale Context Intertwining For Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel scheme for aggregating features from different scales, which we refer to as Multi-Scale Context Intertwining (MSCI).	Di Lin; Yuanfeng Ji; Dani Lischinski; Daniel Cohen-Or; Hui Huang;	eccv	2018-09-10
367	Semantic Correlation Promoted Shape-Variant Context For Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose to generate a scale- and shape-variant semantic mask for each pixel to confine its contextual region.	Henghui Ding; Xudong Jiang; Bing Shuai; Ai Qun Liu; Gang Wang;	arxiv-cs.CV	2019-09-05
368	Semantic Amodal Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we look to the future: what is the next frontier in visual recognition? We create two datasets for semantic amodal segmentation.	Yan Zhu; Yuandong Tian; Dimitris Metaxas; Piotr Dollar;	cvpr	2017-06-17
369	Semantic Amodal Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we look to the future: what is the next frontier in visual recognition?	Yan Zhu; Yuandong Tian; Dimitris Mexatas; Piotr Dollár;	arxiv-cs.CV	2015-09-03
370	Deep Multimodal Fusion for Semantic Image Segmentation: A Survey IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	Yifei Zhang; Desire Sidibé; Olivier Morel; Fabrice Mériaudeau;	Image Vis. Comput.	2021-01-01
371	Pylon Model for Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the paper we show that if, instead of a flat partitioning, the image is represented by a hierarchical segmentation tree, then the resulting energy combining unary and boundary terms can still be optimized using graph cut (with all the corresponding benefits of global optimality and efficiency).	Victor Lempitsky; Andrea Vedaldi; Andrew Zisserman;	nips	2011-12-30
372	Dual Super-Resolution Learning for Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple and flexible two-stream framework named Dual Super-Resolution Learning (DSRL) to effectively improve the segmentation accuracy without introducing extra computation costs.	Li Wang; Dong Li; Yousong Zhu; Lu Tian; Yi Shan;	cvpr	2020-06-08
373	Segmentation of Images By Color Features: A Survey IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	Farid García; Jair Cervantes; Asdrúbal López Chau; Lisbeth Rodríguez-Mazahua;	Neurocomputing	2018-01-01
374	Image Segmentation for The Purpose of Object-based Classification IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The main aim of this research is to find optimum segmentation parameters for extracting different land cover classes. A relatively new segmentation approach, multiresolution …	A. Darwish; K. Leukert; Wolfgang Reinhardt;	IGARSS 2003. 2003 IEEE International Geoscience and Remote …	2003-01-01
375	Dense Reconstruction Using 3D Object Shape Priors IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we link dense SLAM to 3D object pose and shape recovery.	Amaury Dame; Victor A. Prisacariu; Carl Y. Ren; Ian Reid;	cvpr	2013-07-25
376	Weakly Supervised Semantic Segmentation Using Web-Crawled Videos IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel algorithm for weakly supervised semantic segmentation based on image-level class labels only.	Seunghoon Hong; Donghun Yeo; Suha Kwak; Honglak Lee; Bohyung Han;	arxiv-cs.CV	2017-01-02
377	RGB-D Object Detection And Semantic Segmentation For Autonomous Manipulation In Clutter IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle these challenges, we developed a deep-learning approach that combines object detection and semantic segmentation.	Max Schwarz; Anton Milan; Arul Selvam Periyasamy; Sven Behnke;	arxiv-cs.CV	2018-10-01
378	Learning Deep Semantic Segmentation Network Under Multiple Weakly-supervised Constraints for Cross-domain Remote Sensing Image Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	YANSHENG LI et. al.	Isprs Journal of Photogrammetry and Remote Sensing	2021-01-01
379	Video Panoptic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose and explore a new video extension of this task, called video panoptic segmentation.	Dahun Kim; Sanghyun Woo; Joon-Young Lee; In So Kweon;	arxiv-cs.CV	2020-06-19
380	Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since the last few decades, the number of road causalities has seen continuous growth across the globe. Nowa-days intelligent transportation systems are being developed to enable …	Bhakti Baheti; Shubham Innani; Suhas Gajre; Sanjay N. Talbar;	2020 IEEE/CVF Conference on Computer Vision and Pattern …	2020-01-01
381	Watershed Segmentation Using Prior Shape and Appearance Knowledge IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	Ghassan Hamarneh; Xiaoxing Li;	Image Vis. Comput.	2009-01-01
382	Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Availability of very high-resolution remote sensing images and advancement of deep learning methods have shifted the paradigm of image classification from pixel-based and …	Bipul Neupane; Teerayut Horanont; Jagannath Aryal;	Remote. Sens.	2021-01-01
383	Semantic Segmentation for Multiscale Target Based on Object Recognition Using The Improved Faster-RCNN Model IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	DU JIANG et. al.	Future Gener. Comput. Syst.	2021-01-01
384	Multi-class Image Segmentation Using Conditional Random Fields And Global Classification IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach to multi-class segmentation which combines two methods for this integration: a Conditional Random Field (CRF) which couples to local image features and an image classification method which considers global features.	Nils Plath; Marc Toussaint; Shinichi Nakajima;	icml	2009-12-29
385	Image Sequence Analysis for Emerging Interactive Multimedia Services-the European COST 211 Framework IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Flexibility and efficiency of coding, content extraction, and content-based search are key research topics in the field of interactive multimedia. Ongoing ISO MPEG-4 and MPEG-7 …	A. AYDIN ALATAN et. al.	IEEE Trans. Circuits Syst. Video Technol.	1998-01-01
386	Medical Image Segmentation Using Squeeze-and-Expansion Transformers IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose Segtran, an alternative segmentation framework based on transformers, which have unlimited "effective receptive fields" even at high feature resolutions.	SHAOHUA LI et. al.	ijcai	2021-08-13
387	Deep Learning Markov Random Field For Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, DPN extends a contemporary CNN to model unary terms and additional layers are devised to approximate the mean field (MF) algorithm for pairwise terms.	Ziwei Liu; Xiaoxiao Li; Ping Luo; Chen Change Loy; Xiaoou Tang;	arxiv-cs.CV	2016-06-23
388	Virtual Multi-view Fusion For 3D Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we revisit the classic multiview representation of 3D meshes and study several techniques that make them effective for 3D semantic segmentation of meshes.	ABHIJIT KUNDU et. al.	eccv	2020-08-21
389	Cylinder3D: An Effective 3D Framework For Driving-scene LiDAR Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We evaluate the proposed model on a large-scale driving-scene dataset, i.e. SematicKITTI.	HUI ZHOU et. al.	arxiv-cs.CV	2020-08-04
390	Panoptic NuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce the large-scale Panoptic nuScenes benchmark dataset that extends our popular nuScenes dataset with point-wise groundtruth annotations for semantic segmentation, panoptic segmentation, and panoptic tracking tasks.	WHYE KIT FONG et. al.	arxiv-cs.CV	2021-09-08
391	Weakly Supervised Semantic Segmentation With Boundary Exploration IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To obtain semantic segmentation under weak supervision, this paper presents a simple yet effective approach based on the idea of explicitly exploring object boundaries from training images to keep coincidence of segmentation and boundaries.	Liyi Chen; Weiwei Wu; Chenchen Fu; Xiao Han; Yuntao Zhang;	eccv	2020-08-21
392	Mask2Former for Video Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this report, we show universal image segmentation architectures trivially generalize to video segmentation by directly predicting 3D segmentation volumes.	BOWEN CHENG et. al.	arxiv-cs.CV	2021-12-20
393	Vehicle Instance Segmentation From Aerial Image and Video Using A Multitask Learning Residual Fully Convolutional Network IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object detection and semantic segmentation are two main themes in object retrieval from high-resolution remote sensing images, which have recently achieved remarkable performance …	Lichao Mou; Xiao Xiang Zhu;	IEEE Transactions on Geoscience and Remote Sensing	2018-01-01
394	Language-Grounded Indoor 3D Semantic Segmentation in The Wild IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This large number of class categories also induces a large natural class imbalance, both of which are challenging for existing 3D semantic segmentation methods. To learn more robust 3D features in this context, we propose a language-driven pre-training method to encourage learned 3D features that might have limited training examples to lie close to their pre-trained text embeddings.	vid Rozenberszki Dá Or Litany; Angela Dai;	eccv	2022-10-19
395	Language-Grounded Indoor 3D Semantic Segmentation in The Wild IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This large number of class categories also induces a large natural class imbalance, both of which are challenging for existing 3D semantic segmentation methods. To learn more robust 3D features in this context, we propose a language-driven pre-training method to encourage learned 3D features that might have limited training examples to lie close to their pre-trained text embeddings.	David Rozenberszki; Or Litany; Angela Dai;	arxiv-cs.CV	2022-04-16
396	Triplet-Graph Reasoning Network for Few-Shot Metal Generic Surface Defect Segmentation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Metal surface defect segmentation can play an important role in dealing with the issue of quality control during the production and manufacturing stages. There are still two major …	YANQI BAO et. al.	IEEE Transactions on Instrumentation and Measurement	2021-01-01
397	An Improved Implementation of Brain Tumor Detection Using Segmentation Based on Hierarchical Self Organizing Map IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: —Image segmentation denotes a process of partitioning an image into distinct regions. A large variety of different segmentation approaches for images have been developed. Among …	T. Logeswari; M. Karnan;	International Journal of Computer Theory and Engineering	2010-01-01
398	High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect …	SIHANG ZHOU et. al.	IEEE Transactions on Image Processing	2020-01-01
399	Integration of Orthoimagery and Lidar Data for Object-based Urban Thematic Mapping Using Random Forests IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Using high-spatial-resolution multispectral imagery alone is insufficient for achieving highly accurate and reliable thematic mapping of urban areas. Integration of lidar-derived …	HAIYAN GUAN et. al.	International Journal of Remote Sensing	2013-01-01
400	Image Segmentation Algorithms Overview IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper analyzes and summarizes these algorithms of image segmentation, and compares the advantages and disadvantages of different algorithms.	Song Yuheng; Yan Hao;	arxiv-cs.CV	2017-07-07
401	Contextual Priming and Feedback for Faster R-CNN IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The field of object detection has seen dramatic performance improvements in the last few years. Most of these gains are attributed to bottom-up, feedforward ConvNet frameworks. …	Abhinav Shrivastava; Abhinav Gupta;		2016-01-01
402	Fast Point Transformer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Fast Point Transformer that consists of a new lightweight self-attention layer.	Chunghyun Park; Yoonwoo Jeong; Minsu Cho; Jaesik Park;	cvpr	2022-06-07
403	Adaptive Integrated Image Segmentation and Object Recognition IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The paper presents a general approach to image segmentation and object recognition that can adapt the image segmentation algorithm parameters to the changing environmental …	Bir Bhanu; Jing Peng;	IEEE Trans. Syst. Man Cybern. Part C	2000-01-01
404	Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Differently from existing methods, which are purely based on deep learning, we take inspiration from traditional spectral segmentation methods by reframing image decomposition as a graph partitioning problem.	Luke Melas-Kyriazi; Christian Rupprecht; Iro Laina; Andrea Vedaldi;	cvpr	2022-06-07
405	Supervised Learning-based Cell Image Segmentation for P53 Immunohistochemistry IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we present two new algorithms for cell image segmentation. First, we demonstrate that pixel classification-based color image segmentation in color space is …	Ke Zhi Mao; Peng Zhao; Puay-Hoon Tan;	IEEE Transactions on Biomedical Engineering	2006-01-01
406	Cars Can’t Fly Up in The Sky: Improving Urban-Scene Segmentation Via Height-Driven Attention Networks IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper exploits the intrinsic features of urban-scene images and proposes a general add-on module, called height-driven attention networks (HANet), for improving semantic …	Sungha Choi; J. Kim; J. Choo;	2020 IEEE/CVF Conference on Computer Vision and Pattern …	2020-03-11
407	Cross-Image Relational Knowledge Distillation for Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a novel Cross-Image Relational KD (CIRKD), which focuses on transferring structured pixel-to-pixel and pixel-to-region relations among the whole images.	CHUANGUANG YANG et. al.	cvpr	2022-06-07
408	Movie/Script: Alignment and Parsing of Video and Text Transcription IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Movies and TV are a rich source of diverse and complex video of people, objects, actions and locales in the wild. Harvesting automatically labeled sequences of actions from …	Timothée Cour; Christopher T. Jordan; Eleni Miltsakaki; Ben Taskar;		2008-01-01
409	Image Segmentation Based on Adaptive K-means Algorithm IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which …	Xin Zheng; Qinyi Lei; Run Yao; Yifei Gong; Qian Yin;	EURASIP Journal on Image and Video Processing	2018-01-01
410	A Rule Based Approach for Visual Pattern Inspection IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The authors investigate the use of a priori knowledge about a scene to coordinate and control bilevel image segmentation, interpretation, and shape inspection of different objects …	Ahmed M. Darwish; Anil K. Jain;	IEEE Trans. Pattern Anal. Mach. Intell.	1988-01-01
411	Multi-View Deep Learning For Consistent Semantic Mapping With RGB-D Cameras IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach to object-class segmentation from multiple RGB-D views using deep learning.	Lingni Ma; Jörg Stückler; Christian Kerl; Daniel Cremers;	arxiv-cs.CV	2017-03-26
412	Scene Segmentation with CRFs Learned from Partially Labeled Images IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	Bill Triggs; Jakob J. Verbeek;	nips	2007-12-30
413	3D All The Way: Semantic Segmentation Of Urban Scenes From Start To End In 3D IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new approach for semantic segmentation of 3D city models.	Andelo Martinovic; Jan Knopp; Hayko Riemenschneider; Luc Van Gool;	cvpr	2015-06-08
414	Benchmarking The Robustness of Semantic Segmentation Models with Respect to Common Corruptions IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When designing a semantic segmentation model for a real-world application, such as autonomous driving, it is crucial to understand the robustness of the network with respect to a …	Christoph Kamann; Carsten Rother;	International Journal of Computer Vision	2021-01-01
415	Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our central contributions are: 1) a curriculum framework to gradually adapt semantic segmentation models from day to night through progressively darker times of day, exploiting cross-time-of-day correspondences between daytime images from a reference map and dark images to guide the label inference in the dark domains; 2) a novel uncertainty-aware annotation and evaluation framework and metric for semantic segmentation, including image regions beyond human recognition capability in the evaluation in a principled fashion; 3) the Dark Zurich dataset, comprising 2416 unlabeled nighttime and 2920 unlabeled twilight images with correspondences to their daytime counterparts plus a set of 201 nighttime images with fine pixel-level annotations created with our protocol, which serves as a first benchmark for our novel evaluation.	Christos Sakaridis; Dengxin Dai; Luc Van Gool;	arxiv-cs.CV	2020-05-28
416	Learning and Incorporating Shape Models for Semantic Segmentation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation has been popularly addressed using Fully convolutional networks (FCN) (e.g. U-Net) with impressive results and has been the forerunner in recent segmentation …	Hariharan Ravishankar; Rahul Venkataramani; Sheshadri Thiruvenkadam; Prasad Sudhakar; Vivek Vaidya;		2017-01-01
417	RDS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The scene rigidity is a strong assumption in typical visual Simultaneous Localization and Mapping (vSLAM) algorithms. Such strong assumption limits the usage of most vSLAM in …	Yubao Liu; Jun Miura;	IEEE Access	2021-01-01
418	DeepAtlas: Joint Semi-Supervised Learning Of Image Registration And Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by classical approaches for joint segmentation and registration we therefore propose a deep learning framework that jointly learns networks for image registration and image segmentation.	Zhenlin Xu; Marc Niethammer;	arxiv-cs.CV	2019-04-17
419	Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To encourage research in computer vision for agriculture, we present Agriculture-Vision: a large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns.	MANG TIK CHIU et. al.	cvpr	2020-06-08
420	TVSeg – Interactive Total Variation Based Image Segmentation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interactive object extraction is an important part in any image editing software. We present a two step segmentation algorithm that first obtains a binary segmentation and then …	Markus Unger; Thomas Pock; Werner Trobin; Daniel Cremers; Horst Bischof;		2008-01-01
421	Bottom-Up Segmentation For Top-Down Detection IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we are interested in how semantic segmentation can help object detection.	Sanja Fidler; Roozbeh Mottaghi; Alan Yuille; Raquel Urtasun;	cvpr	2013-07-25
422	Agriculture-Vision: A Large Aerial Image Database For Agricultural Pattern Analysis IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To encourage research in computer vision for agriculture, we present Agriculture-Vision: a large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns.	MANG TIK CHIU et. al.	arxiv-cs.CV	2020-01-05
423	Saliency Unified: A Deep Architecture For Simultaneous Eye Fixation Prediction And Salient Object Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a deep convolutional neural network (CNN) capable of predicting eye fixations and segmenting salient objects in a unified framework.	Srinivas S. S. Kruthiventi; Vennela Gudisa; Jaley H. Dholakiya; R. Venkatesh Babu;	cvpr	2016-06-23
424	Boundary-aware Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel object segment representation based on the distance transform of the object masks.	Zeeshan Hayder; Xuming He; Mathieu Salzmann;	arxiv-cs.CV	2016-12-09
425	A New Mean Filter Ratio Technique for Edge Detection and Foreground Extraction IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Edge detection is the primary step in image segmentation and target detection applications. The edge operators proposed so far in the literature, namely, Canny, Sobel, Prewitt, …	M. M. Islam; M. N. Islam; K. Asari; M. Alam;	Optical Engineering + Applications	2008-08-28
426	SegSort: Segmentation By Discriminative Sorting Of Segments IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This motivates us to propose an end-to-end pixel-wise metric learning approach that mimics this process.	JYH-JING HWANG et. al.	arxiv-cs.CV	2019-10-15
427	Real-Time Joint Semantic Segmentation And Depth Estimation Using Asymmetric Annotations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we address three of its most prominent hurdles, namely, i) the adaptation of a single model to perform multiple tasks at once (in this work, we consider depth estimation and semantic segmentation crucial for acquiring geometric and semantic understanding of the scene), while ii) doing it in real-time, and iii) using asymmetric datasets with uneven numbers of annotations per each modality.	VLADIMIR NEKRASOV et. al.	arxiv-cs.CV	2018-09-13
428	Segmentation-Aware Convolutional Networks Using Local Attention Masks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce an approach to integrate segmentation information within a convolutional neural network (CNN).	Adam W. Harley; Konstantinos G. Derpanis; Iasonas Kokkinos;	arxiv-cs.CV	2017-08-15
429	Synthesize Then Compare: Detecting Failures And Anomalies For Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we systematically study failure and anomaly detection for semantic segmentation and propose a unified framework, consisting of two modules, to address these two related problems.	Yingda Xia; Yi Zhang; Fengze Liu; Wei Shen; Alan Yuille;	arxiv-cs.CV	2020-03-18
430	Synthesize Then Compare: Detecting Failures And Anomalies For Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we systematically study failure and anomaly detection for semantic segmentation and propose a unified framework, consisting of two modules, to address these two related problems.	Yingda Xia; Yi Zhang; Fengze Liu; Wei Shen; Alan L. Yuille;	eccv	2020-08-21
431	Deep GrabCut For Object Selection IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel segmentation approach that uses a rectangle as a soft constraint by transforming it into an Euclidean distance map.	Ning Xu; Brian Price; Scott Cohen; Jimei Yang; Thomas Huang;	arxiv-cs.CV	2017-07-02
432	Real-time Video-shot Detection for Scene Surveillance Applications IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, a surveillance system with automatic video-shot detection and indexing capabilities is presented. The proposed system aims at detecting the presence of abandoned …	Elena Stringa; Carlo S. Regazzoni;	IEEE transactions on image processing : a publication of …	2000-01-01
433	Temporal Video Segmentation to Scenes Using High-Level Audiovisual Features IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, a novel approach to video temporal decomposition into semantic units, termed scenes, is presented. In contrast to previous temporal segmentation approaches that …	PANAGIOTIS SIDIROPOULOS et. al.	IEEE Transactions on Circuits and Systems for Video …	2011-01-01
434	Segmentation Driven Object Detection With Fisher Vectors IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an object detection system based on the Fisher vector (FV) image representation computed over SIFT and color descriptors.	Ramazan Gokberk Cinbis; Jakob Verbeek; Cordelia Schmid;	iccv	2013-12-03
435	VoxResNet: Deep Voxelwise Residual Networks For Volumetric Brain Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we explore the deep residual learning on the task of volumetric brain segmentation.	Hao Chen; Qi Dou; Lequan Yu; Pheng-Ann Heng;	arxiv-cs.CV	2016-08-21
436	MILCut: A Sweeping Line Multiple Instance Learning Paradigm For Interactive Image Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we formulate the interactive segmentation problem as a multiple instance learning (MIL) task by generating positive bags from pixels of sweeping lines within a bounding box.	Jiajun Wu; Yibiao Zhao; Jun-Yan Zhu; Siwei Luo; Zhuowen Tu;	cvpr	2014-06-24
437	Active Segmentation With Fixation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present here a novel algorithm that finds this bounding contour and achieves the segmentation of one object, given the fixation.	A. Mishra; Y. Aloimonos and Cheong Loong Fah;	iccv	2009-10-29
438	Joint Object And Part Segmentation Using Deep Learned Potentials IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a joint solution that tackles semantic object and part segmentation simultaneously, in which higher object-level context is provided to guide part segmentation, and more detailed part-level localization is utilized to refine object segmentation.	PENG WANG et. al.	iccv	2015-12-13
439	Joint Object And Part Segmentation Using Deep Learned Potentials IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a joint solution that tackles semantic object and part segmentation simultaneously, in which higher object-level context is provided to guide part segmentation, and more detailed part-level localization is utilized to refine object segmentation.	PENG WANG et. al.	arxiv-cs.CV	2015-05-01
440	Fused Text Segmentation Networks For Multi-oriented Scene Text Detection IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective.	YUCHEN DAI et. al.	arxiv-cs.CV	2017-09-11
441	CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose CLIP-Fields, an implicit scene model that can be used for a variety of tasks, such as segmentation, instance identification, semantic search over space, and view localization.	Nur Muhammad Mahi Shafiullah; Chris Paxton; Lerrel Pinto; Soumith Chintala; Arthur Szlam;	arxiv-cs.RO	2022-10-11
442	FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of urban scenes is an essential component in various applications of autonomous driving. It makes great progress with the rise of deep learning technologies. …	Yuxiang Sun; Weixun Zuo; Hengli Wang; Ming Liu;	IEEE Transactions on Automation Science and Engineering	2021-01-01
443	Evaluation of Segmentation Algorithms for Medical Imaging IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper describes an approach to be used for medical image segmentation evaluation. The process for segmenting organs and structures from medical images is gaining increased …	A. Fenster; B. Chiu;	2005 IEEE Engineering in Medicine and Biology 27th Annual …	2005-01-01
444	Cascaded Scene Flow Prediction Using Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We evaluate our method on the challenging KITTI autonomous driving benchmark, and show that accounting for the motion of segmented vehicles leads to state-of-the-art performance.	Zhile Ren; Deqing Sun; Jan Kautz; Erik B. Sudderth;	arxiv-cs.CV	2017-07-26
445	Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a weakly supervised semantic segmentation algorithm based on deep neural networks, which relies on image-level class labels only.	Suha Kwak; Seunghoon Hong; Bohyung Han;	aaai	2017-02-04
446	DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel domain adaptation network (DANNet) for nighttime semantic segmentation without using labeled nighttime image data.	Xinyi Wu; Zhenyao Wu; Hao Guo; Lili Ju; Song Wang;	cvpr	2021-06-11
447	FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a general multimodal fusion framework FusionPainting to fuse the 2D RGB image and 3D point clouds at a semantic level for boosting the 3D object detection task.	SHAOQING XU et. al.	arxiv-cs.CV	2021-06-23
448	Sensor Fusion For Joint 3D Object Detection And Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an extension to LaserNet, an efficient and state-of-the-art LiDAR based 3D object detector.	Gregory P. Meyer; Jake Charland; Darshan Hegde; Ankit Laddha; Carlos Vallespi-Gonzalez;	arxiv-cs.CV	2019-04-25
449	Curriculum Model Adaptation With Synthetic And Real Data For Semantic Foggy Scene Understanding IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method, named Curriculum Model Adaptation (CMAda), which gradually adapts a semantic segmentation model from light synthetic fog to dense real fog in multiple steps, using both labeled synthetic foggy data and unlabeled real foggy data.	Dengxin Dai; Christos Sakaridis; Simon Hecker; Luc Van Gool;	arxiv-cs.CV	2019-01-05
450	Augmented Feedback in Semantic Segmentation Under Image Level Supervision IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Training neural networks for semantic segmentation is data hungry. Meanwhile annotating a large number of pixel-level segmentation masks needs enormous human effort. In this …	Xiaojuan Qi; Zhengzhe Liu; Jianping Shi; Hengshuang Zhao; Jiaya Jia;		2016-01-01
451	Interactive Volume Segmentation with Differential Image Foresting Transforms IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The absence of object information very often asks for considerable human assistance in medical image segmentation. Many interactive two-dimensional and three-dimensional (3-D) …	Alexandre X. Falcão; Felipe P. G. Bergo;	IEEE Transactions on Medical Imaging	2004-01-01
452	Variational and Level Set Methods in Image Segmentation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting …	Amar Mitiche; Ismail Ben Ayed;		2010-01-01
453	Unsupervised Salient Object Segmentation Based on Kernel Density Estimation and Two-Phase Graph Cut IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose an unsupervised salient object segmentation approach based on kernel density estimation (KDE) and two-phase graph cut. A set of KDE models are first …	ZHI LIU et. al.	IEEE Transactions on Multimedia	2012-01-01
454	Self-Supervised Difference Detection For Weakly-Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, to make the most of such mapping functions, we assume that the results of the mapping function include noise, and we improve the accuracy by removing noise.	Wataru Shimoda; Keiji Yanai;	arxiv-cs.CV	2019-11-04
455	Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View	IMRAN QURESHI et. al.	Inf. Fusion	2022-10-01
456	Towards Interpretable Semantic Segmentation Via Gradient-weighted Class Activation Mapping IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To that end, we propose SEG-GRAD-CAM, a gradient-based method for interpreting semantic segmentation.	Kira Vinogradova; Alexandr Dibrov; Gene Myers;	arxiv-cs.CV	2020-02-26
457	Beyond Point Clouds: Scene Understanding By Reasoning Geometry And Physics IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an approach for scene understanding by reasoning physical stability of objects from point cloud.	Bo Zheng; Yibiao Zhao; Joey C. Yu; Katsushi Ikeuchi; Song-Chun Zhu;	cvpr	2013-07-25
458	Interactive Image Segmentation With First Click Attention IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we demonstrate the critical role of the first click about providing the location and main body information of the target object.	Zheng Lin; Zhao Zhang; Lin-Zhuo Chen; Ming-Ming Cheng; Shao-Ping Lu;	cvpr	2020-06-08
459	TextScanner: Reading Characters in Order for Robust Scene Text Recognition IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle these challenges, we propose in this paper an alternative approach, called TextScanner, for scene text recognition.	Zhaoyi Wan; Minghang He; Haoran Chen; Xiang Bai; Cong Yao;	aaai	2020-02-07
460	NeTra-V: Toward An Object-based Video Representation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There is a growing need for new representations of video that allow not only compact storage of data but also content-based functionalities such as search and manipulation of …	Yining Deng; Debargha Mukherjee; B. S. Manjunath;		1997-01-01
461	Shape Guided Object Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific and texture invariant.	E. Borenstein and J. Malik;	cvpr	2006-06-08
462	Mask3D: Mask Transformer for 3D Semantic Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Building on the successes of recent Transformer-based methods for object detection and image segmentation, we propose the first Transformer-based approach for 3D semantic instance segmentation.	JONAS SCHULT et. al.	arxiv-cs.CV	2022-10-06
463	Spatio-temporal Segmentation of Video Data IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation provides a powerful semantic description of video imagery essential in image understanding and efficient manipulation of image data. In particular, segmentation …	J.Y.A. Wang; Edward H. Adelson;		1994-01-01
464	SalsaNet: Fast Road And Vehicle Segmentation In LiDAR Point Clouds For Autonomous Driving IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a deep encoder-decoder network, named SalsaNet, for efficient semantic segmentation of 3D LiDAR point clouds.	Eren Erdal Aksoy; Saimir Baci; Selcuk Cavdar;	arxiv-cs.CV	2019-09-18
465	Convolutional Random Walk Networks For Semantic Image Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we introduce a simple, yet effective Convolutional Random Walk Network (RWN) that addresses the issues of poor boundary localization and spatially fragmented predictions with very little increase in model complexity.	Gedas Bertasius; Lorenzo Torresani; Stella X. Yu; Jianbo Shi;	cvpr	2017-06-17
466	Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation from very fine resolution (VFR) urban scene images plays a significant role in several application scenarios including autonomous driving, land cover …	LIBO WANG et. al.	ArXiv	2021-06-23
467	SEGMENTATION AND OBJECT RECOGNITION USING EDGE DETECTION TECHNIQUES IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is to partition an image into meaningful regions with respect to a particular application. Object recognition is the task of finding a given object in an image …	Y. Ramadevi; T. Sridevi; B. Poornima; B. Kalyani;	International Journal of Computer Science and Information …	2010-01-01
468	*Color Image Segmentation for Medical Images Using Lab Color Space IF:4** Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is always a fundamental but challenging problem in computer vision. The simplest approach to image segmentation may be clustering of pixels. Our works in this …	Patel Janakkumar Baldevbhai;	IOSR Journal of Electronics and Communication Engineering	2012-01-01
469	GRAINS: Generative Recursive Autoencoders For INdoor Scenes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a generative neural network which enables us to generate plausible 3D indoor scenes in large quantities and varieties, easily and highly efficiently.	MANYI LI et. al.	arxiv-cs.GR	2018-07-24
470	Holistic 3D Scene Parsing And Reconstruction From A Single RGB Image IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a computational framework to jointly parse a single RGB image and reconstruct a holistic 3D configuration composed by a set of CAD models using a stochastic grammar model.	SIYUAN HUANG et. al.	eccv	2018-09-10
471	HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present HOI4D, a large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction.	YUNZE LIU et. al.	arxiv-cs.CV	2022-03-03
472	Semantic Stereo For Incidental Satellite Images IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To demonstrate the complementary nature of the stereo and segmentation tasks, we present lightweight public baselines adapted from recent state of the art convolutional neural network models and assess their performance.	MARC BOSCH et. al.	arxiv-cs.CV	2018-11-21
473	Digital Image Processing Methods IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nonlinear filters morphological segmentation for textures and particles multispectral image segmentation in magnetic resonance imaging thinning and skeletonizing syntactic image …	Edward R. Dougherty;		1994-01-01
474	Complementary Patch for Weakly Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we formulate the expansion of object regions in CAM as an increase in information.	Fei Zhang; Chaochen Gu; Chenyue Zhang; Yuchao Dai;	iccv	2021-10-08
475	Closed-loop Object Recognition Using Reinforcement Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current computer vision systems whose basic methodology is open-loop or filter type typically use image segmentation followed by object recognition algorithms. These systems are …	Jing Peng and B. Bhanu;	cvpr	1996-06-08
476	Restricted Deformable Convolution-Based Road Scene Semantic Segmentation Using Surround View Cameras IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Understanding the surrounding environment of the vehicle is still one of the challenges for autonomous driving. This paper addresses 360-degree road scene semantic segmentation …	LIUYUAN DENG et. al.	IEEE Transactions on Intelligent Transportation Systems	2020-01-01
477	Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a weakly supervised approach to predict point-level results using weak labels on 3D point clouds.	Jiacheng Wei; Guosheng Lin; Kim-Hui Yap; Tzu-Yi Hung; Lihua Xie;	cvpr	2020-06-08
478	A Curriculum Domain Adaptation Approach To The Semantic Segmentation Of Urban Scenes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Hence, we propose a curriculum-style learning approach to minimizing the domain gap in urban scene semantic segmentation.	Yang Zhang; Philip David; Hassan Foroosh; Boqing Gong;	arxiv-cs.CV	2018-12-24
479	Context-aware Feature Generation For Zero-shot Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel context-aware feature generation method for zero-shot segmentation named CaGNet.	Zhangxuan Gu; Siyuan Zhou; Li Niu; Zihan Zhao; Liqing Zhang;	mm	2020-10-12
480	Exploring Context With Deep Structured Models For Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we proffer to improve semantic segmentation with the use of contextual information.	Guosheng Lin; Chunhua Shen; Anton van den Hengel; Ian Reid;	arxiv-cs.CV	2016-03-10
481	SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, considerable progress has been made in semantic segmentation of images with favorable environments. However, the environmental perception of autonomous driving …	HAI WANG et. al.	IEEE Transactions on Intelligent Transportation Systems	2022-11-01
482	Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a joint multi-task learning framework for semantic segmentation and boundary detection.	MINGMIN ZHEN et. al.	cvpr	2020-06-08
483	Joint Semantic Segmentation And Boundary Detection Using Iterative Pyramid Contexts IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a joint multi-task learning framework for semantic segmentation and boundary detection.	MINGMIN ZHEN et. al.	arxiv-cs.CV	2020-04-16
484	Medical Image Semantic Segmentation Based on Deep Learning IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The image semantic segmentation has been extensively studying. The modern methods rely on the deep convolutional neural networks, which can be trained to address this problem. A …	FENG JIANG et. al.	Neural Computing and Applications	2017-01-01
485	Shape Priors In Variational Image Segmentation: Convexity, Lipschitz Continuity And Globally Optimal Solutions IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a novel implicit representation of shape which is based on assigning to each pixel a probability that this pixel is inside the shape.	D. Cremers; F. R. Schmidt and F. Barthel;	cvpr	2008-06-08
486	SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a CLIP-based model named SegCLIP for the topic of open-vocabulary segmentation in an annotation-free manner.	Huaishao Luo; Junwei Bao; Youzheng Wu; Xiaodong He; Tianrui Li;	icml	2023-06-27
487	Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by the significant inter-task correlation, we propose a novel weakly supervised multi-task framework termed as AuxSegNet, to leverage saliency detection and multi-label image classification as auxiliary tasks to improve the primary task of semantic segmentation using only image-level ground-truth labels.	LIAN XU et. al.	iccv	2021-10-08
488	Multi-scale Deep Context Convolutional Neural Networks for Semantic Segmentation IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent years have witnessed the great progress for semantic segmentation using deep convolutional neural networks (DCNNs). This paper presents a novel fully convolutional network …	QUAN ZHOU et. al.	World Wide Web	2018-01-01
489	Weakly and Semi Supervised Human Body Part Parsing Via Pose-Guided Knowledge Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel method to generate synthetic human part segmentation data using easily-obtained human keypoint annotations.	HAO-SHU FANG et. al.	cvpr	2018-06-17
490	Discovering Class-Specific Pixels For Weakly-Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an approach to discover class-specific pixels for the weakly-supervised semantic segmentation task.	Arslan Chaudhry; Puneet K. Dokania; Philip H. S. Torr;	arxiv-cs.CV	2017-07-18
491	Improvement of Image Segmentation Accuracy Based on Multiscale Optimization Procedure IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This letter proposes an optimization approach that enhances the quality of image segmentation using the software Definiens Developer. The procedure aims at the minimization of …	Thomas Esch; Michael Thiel; Michael Bock; Achim Roth; Stefan W. Dech;	IEEE Geoscience and Remote Sensing Letters	2008-01-01
492	Object Segmentation By Alignment Of Poselet Activations To Image Contours IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose techniques to make use of two complementary bottom-up features, image edges and texture patches, to guide top-down object segmentation towards higher precision.	T. Brox; L. Bourdev; S. Maji and J. Malik;	cvpr	2011-06-08
493	Locate Then Segment: A Strong Pipeline for Referring Image Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle these problems, we view this task from another perspective by decoupling it into a locate-then-segment (LTS) scheme.	YA JING et. al.	cvpr	2021-06-11
494	Optimal Region Growing Segmentation and Its Effect on Classification Accuracy IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is a preliminary and critical step in object-based image classification. Its proper evaluation ensures that the best segmentation is used in image …	Yan Gao; Jean Francois Mas; Norman Kerle; Jose Antonio Navarrete Pacheco;	International Journal of Remote Sensing	2011-01-01
495	Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a comprehensive review of recently proposed semi-supervised learning methods for medical image segmentation and summarized both the technical novelties and empirical results.	Rushi Jiao; Yichi Zhang; Le Ding; Rong Cai; Jicong Zhang;	arxiv-cs.CV	2022-07-28
496	SceneNet RGB-D: 5M Photorealistic Images Of Synthetic Indoor Trajectories With Ground Truth IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce SceneNet RGB-D, expanding the previous work of SceneNet to enable large scale photorealistic rendering of indoor scene trajectories.	John McCormac; Ankur Handa; Stefan Leutenegger; Andrew J. Davison;	arxiv-cs.CV	2016-12-15
497	Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we introduce discriminative region suppression (DRS) module that is a simple yet effective method to expand object activation regions.	Beomyoung Kim; Sangeun Han; Junmo Kim;	arxiv-cs.CV	2021-03-12
498	OpenMask3D: Open-Vocabulary 3D Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While such a representation can be directly employed to perform semantic segmentation, existing methods have limitations in their ability to handle object instances. In this work, we address this limitation, and propose OpenMask3D, which is a zero-shot approach for open-vocabulary 3D instance segmentation.	AYCA TAKMAZ et. al.	nips	2023-10-24
499	OpenMask3D: Open-Vocabulary 3D Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While such a representation can be directly employed to perform semantic segmentation, existing methods cannot separate multiple object instances. In this work, we address this limitation, and propose OpenMask3D, which is a zero-shot approach for open-vocabulary 3D instance segmentation.	AYÇA TAKMAZ et. al.	arxiv-cs.CV	2023-06-23
500	DoFE: Domain-oriented Feature Embedding For Generalizable Fundus Image Segmentation On Unseen Datasets IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To alleviate this issue, we present a novel Domain-oriented Feature Embedding (DoFE) framework to improve the generalization ability of CNNs on unseen target domains by exploring the knowledge from multiple source domains.	SHUJUN WANG et. al.	arxiv-cs.CV	2020-10-13