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Semi-supervised video object segmentation is a task of segmenting the target object in a video sequence given only a mask annotation in the first frame.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, Kai Li, and Li Fei-Fei · 2009
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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A benchmark dataset and evaluation methodology for video object segmentation
F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung · 2016
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Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 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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ECO: efficient convolution operators for tracking
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, and Michael Felsberg · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollar, and R. Girshick · 2017
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Learning video object segmentation from static images
Anna Khoreva, Federico Perazzi, 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, Alexander Sorkine-Hornung, and Luc Van Gool · 2017
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Pixel-level matching for video object segmentation using convolutional neural networks
Jae Shin Yoon, Francois Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, and In So Kweon · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 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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Cnn in mrf: Video object segmentation via inference in a cnn-based higher-order spatio-temporal mrf
L. Bao, B. Wu, and W. Liu · 2018
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The lovasz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks
M. Berman, A. Triki, and Matthew B. Blaschko · 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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Videomatch: Matching based video object segmentation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander G. Schwing · 2018
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Video object segmentation with joint re-identification and attention-aware mask propagation
Xiaoxiao Li and Chen Change Loy · 2018
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Premvos: Proposal-generation, refinement and merging for video object segmentation
Jonathon Luiten, Paul Voigtlaender, and Bastian Leibe · 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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Monet: Deep motion exploitation for video object segmentation
H. Xiao, J. Feng, G. Lin, Y. Liu, and M. Zhang · 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
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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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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Fast video object segmentation via dynamic targeting network
Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, and You He · 2019
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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
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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A simple framework for contrastive learning of visual representations
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Youtube-vos: A large-scale video object segmentation benchmark
N. Xu, L. Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and T. Huang · 2018
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Efficient video object segmentation via network modulation
Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, and Aggelos K. Katsaggelos · 2018
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Meta-learning with differentiable closed-form solvers
Luca Bertinetto, Joao F. Henriques, Philip Torr, and Andrea Vedaldi · 2019
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Learning discriminative model prediction for tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2019
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ATOM: accurate tracking by overlap maximization
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, and Michael Felsberg · 2019
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A generative appearance model for end-to-end video object segmentation
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, and Michael Felsberg · 2019
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Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Probabilistic regression for visual tracking
Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
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Space-time correspondence as a contrastive random walk
Allan Jabri, Andrew Owens, and Alexei A. Efros · 2020
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MAST: A memory-augmented self-supervised tracker
Zihang Lai, Erika Lu, and Weidi Xie · 2020
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Fast video object segmentation using the global context module
Yu Li, Zhuoran Shen, and Ying Shan · 2020
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Video object segmentation with episodic graph memory networks
Xiankai Lu, Wenguan Wang, Danelljan Martin, Tianfei Zhou, Jianbing Shen, and Van Gool Luc · 2020
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D3s - a discriminative single shot segmentation tracker
Alan Lukezic, Jiri Matas, and Matej Kristan · 2020
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Learning fast and robust target models for video object segmentation
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, and Michael Felsberg · 2020
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Kernelized memory network for video object segmentation
Hongje Seong, Junhyuk Hyun, and Euntai Kim · 2020
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Collaborative video object segmentation by foreground-background integration
Zongxin Yang, Yunchao Wei, and Yi Yang · 2020
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A transductive approach for video object segmentation
Yizhuo Zhang, Zhirong Wu, Houwen Peng, and Stephen Lin · 2020
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Contrastive transformation for self-supervised correspondence learning
Ning Wang, Wengang Zhou, and Houqiang Li · 2021
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Transformer meets tracker: Exploiting temporal context for robust visual tracking
Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li · 2021
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