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The Segment Anything Model (SAM) has established itself as a powerful zero-shot image segmentation model, enabled by efficient point-centric annotation and prompt-based models.
An iterative image registration technique with an application to stereo vision
Bruce D Lucas and Takeo Kanade · 1981
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Detection and tracking of point
Carlo Tomasi and Takeo Kanade · 1991
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Good features to track
Jianbo Shi and Tomasi · 1994
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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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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Speeded-up robust features (surf)
Herbert Bay, Andreas Ess, Tinne Tuytelaars, and Luc Van Gool · 2008
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Particle video: Long-range motion estimation using point trajectories
Peter Sand and Seth Teller · 2008
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Learning to detect unseen object classes by between-class attribute transfer
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling · 2009
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A simple and fast algorithm for k-medoids clustering
Hae-Sang Park and Chi-Hyuck Jun · 2009
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Lift: Learned invariant feature transform
K. M. Yi, Eduard Trulls, Vincent Lepetit, and P. Fua · 2016
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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
Earlier work this paper cites.
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
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Superpoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
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Youtube-vos: A large-scale video object segmentation benchmark, 2018
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
Earlier work this paper cites.
The 2019 davis challenge on vos: Unsupervised multi-object segmentation
Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, and Luc Van Gool · 2019
Earlier work this paper cites.
Fast user-guided video object segmentation by interaction-and-propagation 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.
Interactive video object segmentation using global and local transfer modules
Yuk Heo, Yeong Jun Koh, and Chang-Su Kim · 2020
Cited alongside, same era.
Space-time correspondence as a contrastive random walk
Allan Jabri, Andrew Owens, and Alexei Efros · 2020
Cited alongside, same era.
Memory aggregation networks for efficient interactive video object segmentation
Jiaxu Miao, Yunchao Wei, and Yi Yang · 2020
Cited alongside, same era.
Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model
Ho Kei Cheng and Alexander G Schwing · 2022
Later among the works it cites.
Tap-vid: A benchmark for tracking any point in a video
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adria Recasens, Lucas Smaira, Yusuf Aytar, Joao Carreira, Andrew Zisserman, and Yi Yang · 2022
Later among the works it cites.
Particle video revisited: Tracking through occlusions using point trajectories
Adam W Harley, Zhaoyuan Fang, and Katerina Fragkiadaki · 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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Seqformer: a frustratingly simple model for video instance segmentation
Junfeng Wu, Yi Jiang, Wenqing Zhang, Xiang Bai, and Song Bai · 2022
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Robust online video instance segmentation with track queries
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Cited alongside, same era.
Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
Cited alongside, same era.
Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
Cited alongside, same era.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Cited alongside, same era.
Query-memory re-aggregation for weakly-supervised video object segmentation
Fanchao Lin, Hongtao Xie, Yan Li, and Yongdong Zhang · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Unidentified video objects: A benchmark for dense, open-world segmentation
Weiyao Wang, Matt Feiszli, Heng Wang, and Du Tran · 2021
Cited alongside, same era.
Zitong Zhan, Daniel McKee, and Svetlana Lazebnik · 2022
Later among the works it cites.
Mose: A new dataset for video object segmentation in complex scenes
Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H. S. Torr, and Song Bai · 2023
Closest in time.
Tapir: Tracking any point with per-frame initialization and temporal refinement
Carl Doersch, Yi Yang, Mel Vecerik, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joao Carreira, and Andrew Zisserman · 2023
Closest in time.
Cotracker: It is better to track together
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 2023
Closest in time.
Segment anything in high quality
Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, and Fisher Yu · 2023
Closest in time.
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick · 2023
Closest in time.
Track anything: Segment anything meets videos
Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, and Feng Zheng · 2023
Closest in time.
Faster segment anything: Towards lightweight sam for mobile applications
Chaoning Zhang, Dongshen Han, Yu Qiao, Jung Uk Kim, Sung-Ho Bae, Seungkyu Lee, and Choong Seon Hong · 2023
Closest in time.
Pointodyssey: A large-scale synthetic dataset for long-term point tracking
Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, and Leonidas J. Guibas · 2023
Closest in time.