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Interactive video object segmentation (iVOS) aims at efficiently harvesting high-quality segmentation masks of the target object in a video with user interactions.
Collaborative video object segmentation by foreground-background integration
Zongxin Yang, Yunchao Wei, and Yi Yang · 2003
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Interactive video cutout
Jue Wang, Pravin Bhat, R Alex Colburn, Maneesh Agrawala, and Michael F Cohen · 2005
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Video snapcut: robust video object cutout using localized classifiers
Xue Bai, Jue Wang, David Simons, and Guillermo Sapiro · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Livecut: Learning-based interactive video segmentation by evaluation of multiple propagated cues
Brian L Price, Bryan S Morse, and Scott Cohen · 2009
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Rotoscoping
Benjamin Bratt · 2012
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Parameter learning and convergent inference for dense random fields
Philipp Krähenbühl and Vladlen Koltun · 2013
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Roto++: Accelerating professional rotoscoping using shape manifolds
Wenbin Li, Fabio Viola, Jonathan Starck, Gabriel J Brostow, and Neill DF Campbell · 2016
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Interactive video object segmentation in the wild
Arnaud Benard and Michael Gygli · 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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Semantic instance segmentation via deep metric learning
Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, and Kevin P Murphy · 2017
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Full-resolution residual networks for semantic segmentation in street scenes
Tobias Pohlen, Alexander Hermans, Markus Mathias, and Bastian Leibe · 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
Cited alongside, same era.
Online adaptation of convolutional neural networks for the 2017 davis challenge on video object segmentation
Paul Voigtlaender and Bastian Leibe · 2017
Cited alongside, same era.
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
Similarity learning for dense label transfer
Mohammad Najafi, Viveka Kulharia, T Ajanthan, and PH Torr · 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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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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Efficient video object segmentation via network modulation
Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, and Aggelos K Katsaggelos · 2018
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Interactive video object segmentation using sparse-to-dense networks
Yuk Heo, Yeong Jun Koh, and Chang-Su Kim · 2019
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Fast user-guided video object segmentation by interaction-and-propagation networks
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Cited alongside, same era.
The 2018 davis challenge on video object segmentation
Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, and Jordi Pont-Tuset · 2018
Cited alongside, same era.
Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
Cited alongside, same era.
Blazingly fast video object segmentation with pixel-wise metric learning
Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, and Luc Van Gool · 2018
Cited alongside, same era.
Videomatch: Matching based video object segmentation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander G Schwing · 2018
Cited alongside, same era.
Video object segmentation with joint re-identification and attention-aware mask propagation
Xiaoxiao Li and Chen Change Loy · 2018
Cited alongside, same era.
Premvos: Proposal-generation, refinement and merging for video object segmentation
Jonathon Luiten, Paul Voigtlaender, and Bastian Leibe · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2019
Later among the works it cites.
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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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
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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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Mhp-vos: Multiple hypotheses propagation for video object segmentation
Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, and Pan Zhou · 2019
Later among the works it cites.