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Video object segmentation (VOS) aims at segmenting a particular object throughout the entire video clip sequence.
Learning to detect natural image boundaries using local brightness, color, and texture cues
David R Martin, Charless C Fowlkes, and Jitendra Malik · 2004
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Semantic object classes in video: A high-definition ground truth database
Gabriel J Brostow, Julien Fauqueur, and Roberto Cipolla · 2009
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Learning object class detectors from weakly annotated video
Alessandro Prest, Christian Leistner, Javier Civera, Cordelia Schmid, and Vittorio Ferrari · 2012
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Video segmentation by tracking many figure-ground segments
Fuxin Li, Taeyoung Kim, Ahmad Humayun, David Tsai, and James M Rehg · 2013
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Segmentation of moving objects by long term video analysis
Peter Ochs, Jitendra Malik, and Thomas Brox · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge J Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Learning to segment moving objects in videos
Katerina Fragkiadaki, Pablo Arbelaez, Panna Felsen, and Jitendra Malik · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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JumpCut: non-successive mask transfer and interpolation for video cutout
Qingnan Fan, Fan Zhong, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 2015
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A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alex Sorkine-Hornung, and Luc Van Gool · 2017
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One-shot video object segmentation
Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 2017
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Fusionseg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
Suyog Dutt Jain, Bo Xiong, and Kristen Grauman · 2017
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Segflow: Joint learning for video object segmentation and optical flow
Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, and Ming-Hsuan Yang · 2017
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Learning video object segmentation from static images
Federico Perazzi, Anna Khoreva, Rodrigo Benenson, Bernt Schiele, and Alexander Sorkine-Hornung · 2017
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Online video object segmentation via convolutional trident network
Won-Dong Jang and Chang-Su Kim · 2017
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Video propagation networks
Varun Jampani, Raghudeep Gadde, and Peter V. Gehler · 2017
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Pixel-level matching for video object segmentation using convolutional neural networks
Jae Shin Yoon, François Rameau, Jun-Sik Kim, Seokju Lee, Seunghak Shin, and In So Kweon · 2017
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Learning video object segmentation with visual memory
Pavel Tokmakov, Karteek Alahari, and Cordelia Schmid · 2017
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
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Online multi-object tracking using cnn-based single object tracker with spatial-temporal attention mechanism
Qi Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang, Bin Liu, and Nenghai Yu · 2017
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Youtube-vos: Sequence-to-sequence video object segmentation
Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian Price, Scott Cohen, and Thomas Huang · 2018
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Blazingly fast video object segmentation with pixel-wise metric learning
Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, and Luc Van Gool · 2018
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Monet: Deep motion exploitation for video object segmentation
Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, and Maojun Zhang · 2018
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Motion-guided cascaded refinement network for video object segmentation
Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, and Yap-Peng Tan · 2018
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Reinforcement cutting-agent learning for video object segmentation
Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, and Xiaodan Liang · 2018
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Fast and accurate online video object segmentation via tracking parts
Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, and Ming-Hsuan Yang · 2018
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Fast video object segmentation by reference-guided mask propagation
Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, and Seon Joo Kim · 2018
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Flow guided recurrent neural encoder for video salient object detection
Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, and Liang Lin · 2018
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Context contrasted feature and gated multi-scale aggregation for scene segmentation
Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, and Gang Wang · 2018
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Toward achieving robust low-level and high-level scene parsing
Bing Shuai, Henghui Ding, Ting Liu, Gang Wang, and Xudong Jiang · 2018
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Repulsion loss: Detecting pedestrians in a crowd
Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, and Chunhua Shen · 2018
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Occlusion-aware r-cnn: Detecting pedestrians in a crowd
Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, and Stan Z Li · 2018
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Online multi-object tracking with dual matching attention networks
Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, and Ming-Hsuan Yang · 2018
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Fast user-guided video object segmentation by interaction-and-propagation networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2019
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Mhp-vos: Multiple hypotheses propagation for video object segmentation
Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, and Pan Zhou · 2019
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Agss-vos: Attention guided single-shot video object segmentation
Huaijia Lin, Xiaojuan Qi, and Jiaya Jia · 2019
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Fast video object segmentation via dynamic targeting network
Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, and You He · 2019
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Feelvos: Fast end-to-end embedding learning for video object segmentation
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, and Liang-Chieh Chen · 2019
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Ranet: Ranking attention network for fast video object segmentation
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, and Ling Shao · 2019
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Capsulevos: Semi-supervised video object segmentation using capsule routing
Kevin Duarte, Yogesh S. Rawat, and Mubarak Shah · 2019
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Video object segmentation using space-time memory networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2019
Cited alongside, same era.
Fast online object tracking and segmentation: A unifying approach
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, and Philip HS Torr · 2019
Cited alongside, same era.
Asymmetric cross-guided attention network for actor and action video segmentation from natural language query
Hao Wang, Cheng Deng, Junchi Yan, and Dacheng Tao · 2019
Cited alongside, same era.
Learning to segment moving objects
Pavel Tokmakov, Cordelia Schmid, and Karteek Alahari · 2019
Learning position and target consistency for memory-based video object segmentation
Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, and Rong Jin · 2021
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Sstvos: Sparse spatiotemporal transformers for video object segmentation
Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, and Graham W Taylor · 2021
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Query-memory re-aggregation for weakly-supervised video object segmentation
Fanchao Lin, Hongtao Xie, Yan Li, and Yongdong Zhang · 2021
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Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion
Ho Kei Cheng, Yu-Wing Tai, and Chi-Keung Tang · 2021
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Guided interactive video object segmentation using reliability-based attention maps
Yuk Heo, Yeong Jun Koh, and Chang-Su Kim · 2021
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Cited alongside, same era.
Anchor diffusion for unsupervised video object segmentation
Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, and Philip HS Torr · 2019
Cited alongside, same era.
Motion guided attention for video salient object detection
Haofeng Li, Guanqi Chen, Guanbin Li, and Yizhou Yu · 2019
Cited alongside, same era.
Learning unsupervised video object segmentation through visual attention
Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven CH Hoi, and Haibin Ling · 2019
Cited alongside, same era.
See more, know more: Unsupervised video object segmentation with co-attention siamese networks
Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, and Fatih Porikli · 2019
Cited alongside, same era.
Zero-shot video object segmentation via attentive graph neural networks
Wenguan Wang, Xiankai Lu, Jianbing Shen, David J Crandall, and Ling Shao · 2019
Cited alongside, same era.
Video instance segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 2019
Cited alongside, same era.
Learning to recommend frame for interactive video object segmentation in the wild
Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, and Shenghua Gao · 2021
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Referring segmentation in images and videos with cross-modal self-attention network
Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, and Yang Wang · 2021
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Vision-language transformer and query generation for referring segmentation
Henghui Ding, Chang Liu, Suchen Wang, and Xudong Jiang · 2021
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Cross-modal progressive comprehension for referring segmentation
Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, and Guanbin Li · 2021
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Chen Liang, Yu Wu, Tianfei Zhou, Wenguan Wang, Zongxin Yang, Yunchao Wei, and Yi Yang · 2021
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Prototypical matching and open set rejection for zero-shot semantic segmentation
Hui Zhang and Henghui Ding · 2021
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Dystab: Unsupervised object segmentation via dynamic-static bootstrapping
Yanchao Yang, Brian Lai, and Stefano Soatto · 2021
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Reciprocal transformations for unsupervised video object segmentation
Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han, and Shengfeng He · 2021
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F2net: Learning to focus on the foreground for unsupervised video object segmentation
Daizong Liu, Dongdong Yu, Changhu Wang, and Pan Zhou · 2021
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Segmenting objects from relational visual data
Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, and Luc Van Gool · 2021
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Interaction via bi-directional graph of semantic region affinity for scene parsing
Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, and Xudong Jiang · 2021
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Vspw: A large-scale dataset for video scene parsing in the wild
Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, and Yi Yang · 2021
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Learning to associate every segment for video panoptic segmentation
Sanghyun Woo, Dahun Kim, Joon-Young Lee, and In So Kweon · 2021
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Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation
Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen · 2021
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Compositional convolutional neural networks: A robust and interpretable model for object recognition under occlusion
Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, and Alan Yuille · 2021
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Recovering the unbiased scene graphs from the biased ones
Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, and Jiashi Feng · 2021
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Deep occlusion-aware instance segmentation with overlapping bilayers
Lei Ke, Yu-Wing Tai, and Chi-Keung Tang · 2021
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Associating objects with transformers for video object segmentation
Zongxin Yang, Yunchao Wei, and Yi Yang · 2021
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Rethinking space-time networks with improved memory coverage for efficient video object segmentation
Ho Kei Cheng, Yu-Wing Tai, and Chi-Keung Tang · 2021
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Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model
Ho Kei Cheng and Alexander G Schwing · 2022
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Decoupling features in hierarchical propagation for video object segmentation
Zongxin Yang and Yi Yang · 2022
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Deep interactive image matting with feature propagation
Henghui Ding, Hui Zhang, Chang Liu, and Xudong Jiang · 2022
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Instance-specific feature propagation for referring segmentation
Chang Liu, Xudong Jiang, and Henghui Ding · 2022
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Language-bridged spatial-temporal interaction for referring video object segmentation
Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, and Si Liu · 2022
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End-to-end referring video object segmentation with multimodal transformers
Adam Botach, Evgenii Zheltonozhskii, and Chaim Baskin · 2022
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Multi-level representation learning with semantic alignment for referring video object segmentation
Dongming Wu, Xingping Dong, Ling Shao, and Jianbing Shen · 2022
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Improving video instance segmentation via temporal pyramid routing
Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, and Dacheng Tao · 2022
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Video mask transfiner for high-quality video instance segmentation
Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, and Fisher Yu · 2022
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Occluded video instance segmentation: A benchmark
Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip HS Torr, and Song Bai · 2022
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Coarse-to-fine feature mining for video semantic segmentation
Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, and Luc Van Gool · 2022
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Large-scale video panoptic segmentation in the wild: A benchmark
Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, and Yi Yang · 2022
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Tracking every thing in the wild
Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E Huang, and Fisher Yu · 2022
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Recurrent dynamic embedding for video object segmentation
Mingxing Li, Li Hu, Zhiwei Xiong, Bang Zhang, Pan Pan, and Dong Liu · 2022
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Swem: Towards real-time video object segmentation with sequential weighted expectation-maximization
Zhihui Lin, Tianyu Yang, Maomao Li, Ziyu Wang, Chun Yuan, Wenhao Jiang, and Wei Liu · 2022
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Vlt: Vision-language transformer and query generation for referring segmentation
Henghui Ding, Chang Liu, Suchen Wang, and Xudong Jiang · 2023
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