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Current top-leading solutions for video object segmentation (VOS) typically follow a matching-based regime: for each query frame, the segmentation mask is inferred according to its correspondence to previously processed and the first annotated frames.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Hierarchical image saliency detection on extended cssd
Jianping Shi, Qiong Yan, Li Xu, and Jiaya Jia · 2015
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Jots: Joint online tracking and segmentation
Longyin Wen, Dawei Du, Zhen Lei, Stan Z Li, and Ming-Hsuan Yang · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Bilateral space video segmentation
Nicolas Märki, Federico Perazzi, Oliver Wang, and Alexander Sorkine-Hornung · 2016
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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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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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Maskrnn: Instance level video object segmentation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander Schwing · 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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Learning video object segmentation from static images
Federico Perazzi, Anna Khoreva, Rodrigo Benenson, Bernt Schiele, and Alexander Sorkine-Hornung · 2017
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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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Online adaptation of convolutional neural networks for video object segmentation
Paul Voigtlaender and Bastian Leibe · 2017
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Learning to detect salient objects with image-level supervision
Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, and Xiang Ruan · 2017
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Selective video object cutout
Wenguan Wang, Jianbing Shen, and Fatih Porikli · 2017
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Cnn in mrf: Video object segmentation via inference in a cnn-based higher-order spatio-temporal mrf
Linchao Bao, Baoyuan Wu, and Wei Liu · 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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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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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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Video object segmentation without temporal information
K-K Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 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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Tracking emerges by colorizing videos
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, and Kevin Murphy · 2018
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Semi-supervised video object segmentation with super-trajectories
Wenguan Wang, Jianbing Shen, Fatih Porikli, and Ruigang Yang · 2018
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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin · 2018
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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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Self-supervised learning for video correspondence flow
Zihang Lai and Weidi Xie · 2019
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Joint-task self-supervised learning for temporal correspondence
Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, and Ming-Hsuan Yang · 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
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Rvos: End-to-end recurrent network for video object segmentation
Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, and Xavier Giro-i Nieto · 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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Unsupervised deep tracking
Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, and Houqiang Li · 2019
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Fast online object tracking and segmentation: A unifying approach
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, and Philip HS Torr · 2019
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Learning correspondence from the cycle-consistency of time
Xiaolong Wang, Allan Jabri, and Alexei A Efros · 2019
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Towards high-resolution salient object detection
Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, and Huchuan Lu · 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
Cited alongside, same era.
Learning what to learn for video object segmentation
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, and Radu Timofte · 2020
Cited alongside, same era.
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
Cited alongside, same era.
State-aware tracker for real-time video object segmentation
Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, and Donglian Qi · 2020
Cited alongside, same era.
Cascadepsp: Toward class-agnostic and very high-resolution segmentation via global and local refinement
Learning dynamic network using a reuse gate function in semi-supervised video object segmentation
Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, and Nojun Kwak · 2021
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Casting your model: Learning to localize improves self-supervised representations
Ramprasaath R Selvaraju, Karan Desai, Justin Johnson, and Nikhil Naik · 2021
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Hierarchical memory matching network for video object segmentation
Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, and Euntai Kim · 2021
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Unsupervised semantic segmentation by contrasting object mask proposals
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, and Luc Van Gool · 2021
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Swiftnet: Real-time video object segmentation
Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, and Song Bai · 2021
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Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, and Chi-Keung Tang · 2020
Cited alongside, same era.
Bootstrap your own latent-a new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, et al · 2020
Cited alongside, same era.
Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
Cited alongside, same era.
Space-time correspondence as a contrastive random walk
Allan Jabri, Andrew Owens, and Alexei A Efros · 2020
Cited alongside, same era.
Adversarial self-supervised contrastive learning
Minseon Kim, Jihoon Tack, and Sung Ju Hwang · 2020
Cited alongside, same era.
Mast: A memory-augmented self-supervised tracker
Zihang Lai, Erika Lu, and Weidi Xie · 2020
Cited alongside, same era.
Fss-1000: A 1000-class dataset for few-shot segmentation
Xiang Li, Tianhan Wei, Yau Pun Chen, Yu-Wing Tai, and Chi-Keung Tang · 2020
Cited alongside, same era.
Ning Wang, Wengang Zhou, and Houqiang Li · 2021
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Exploring cross-image pixel contrast for semantic segmentation
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, and Luc Van Gool · 2021
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Dense contrastive learning for self-supervised visual pre-training
Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, and Lei Li · 2021
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Aligning pretraining for detection via object-level contrastive learning
Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, and Stephen Lin · 2021
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Detco: Unsupervised contrastive learning for object detection
Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, and Ping Luo · 2021
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Efficient regional memory network for video object segmentation
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, and Wenxiu Sun · 2021
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Unsupervised object-level representation learning from scene images
Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, and Chen Change Loy · 2021
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Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning
Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, and Han Hu · 2021
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Rethinking self-supervised correspondence learning: A video frame-level similarity perspective
Jiarui Xu and Xiaolong Wang · 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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Collaborative video object segmentation by multi-scale foreground-background integration
Zongxin Yang, Yunchao Wei, and Yi Yang · 2021
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Barlow twins: Self-supervised learning via redundancy reduction
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, and Stéphane Deny · 2021
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Modelling neighbor relation in joint space-time graph for video correspondence learning
Zixu Zhao, Yueming Jin, and Pheng-Ann Heng · 2021
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Improving contrastive learning by visualizing feature transformation
Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, and Chang Wen Chen · 2021
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Learning pixel trajectories with multiscale contrastive random walks
Zhangxing Bian, Allan Jabri, Alexei A Efros, and Andrew Owens · 2022
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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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Object discovery and representation networks
Olivier J Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, and Relja Arandjelović · 2022
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Contextual outpainting with object-level contrastive learning
Jiacheng Li, Chang Chen, and Zhiwei Xiong · 2022
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Locality-aware inter-and intra-video reconstruction for self-supervised correspondence learning
Liulei Li, Tianfei Zhou, Wenguan Wang, Lu Yang, Jianwu Li, and Yi Yang · 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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Per-clip video object segmentation
Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, and Joon-Young Lee · 2022
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Mvdecor: Multi-view dense correspondence learning for fine-grained 3d segmentation
Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, and Sanja Fidler · 2022
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Contrastive learning for space-time correspondence via self-cycle consistency
Jeany Son · 2022
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Decoupling features in hierarchical propagation for video object segmentation
Zongxin Yang and Yi Yang · 2022
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Proposalcontrast: Unsupervised pre-training for lidar-based 3d object detection
Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, and Wenguan Wang · 2022
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Batman: Bilateral attention transformer in motion-appearance neighboring space for video object segmentation
Ye Yu, Jialin Yuan, Gaurav Mittal, Li Fuxin, and Mei Chen · 2022
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A survey on deep learning technique for video segmentation
Tianfei Zhou, Fatih Porikli, David J Crandall, Luc Van Gool, and Wenguan Wang · 2022
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