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Existing approaches to unsupervised video instance segmentation typically rely on motion estimates and experience difficulties tracking small or divergent motions.
Normalized cuts and image segmentation
Jianbo Shi and Jitendra Malik · 2000
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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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Efficient inference in fully connected crfs with gaussian edge potentials
Philipp Krähenbühl and Vladlen Koltun · 2011
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A naturalistic open source movie for optical flow evaluation
D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black · 2012
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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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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Motion trajectory segmentation via minimum cost multicuts
Margret Keuper, Bjoern Andres, and Thomas Brox · 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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The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driving
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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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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 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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Unsupervised video object segmentation using motion saliency-guided spatio-temporal propagation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander G Schwing · 2018
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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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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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Video segmentation by detection for the 2019 unsupervised davis challenge
Zhao Yang, Qiang Wang, Song Bai, Weiming Hu, and Philip HS Torr · 2019
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Unovost: Unsupervised offline video object segmentation and tracking
Jonathon Luiten, Idil Esen Zulfikar, and Bastian Leibe · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Matnet: Motion-attentive transition network for zero-shot video object segmentation
Tianfei Zhou, Jianwu Li, Shunzhou Wang, Ran Tao, and Jianbing Shen · 2020
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Mask2former for video instance segmentation
Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, and Alexander G Schwing · 2021
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End-to-end object detection with transformers
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Unsupervised learning of visual features by contrasting cluster assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Bootstrap your own latent: A new approach to self-supervised learning
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Momentum contrast for unsupervised visual representation learning
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Space-time correspondence as a contrastive random walk
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Oriane Siméoni, Gilles Puy, Huy V Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, and Jean Ponce · 2021
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Self-supervised video object segmentation by motion grouping
Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, and Weidi Xie · 2021
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Segmenting moving objects via an object-centric layered representation
Junyu Xie, Weidi Xie, and Andrew Zisserman · 2022
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Unsupervised video object segmentation via prototype memory network
Minhyeok Lee, Suhwan Cho, Seunghoon Lee, Chaewon Park, and Sangyoun Lee · 2023
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Cut and learn for unsupervised object detection and instance segmentation
Xudong Wang, Rohit Girdhar, Stella X Yu, and Ishan Misra · 2023
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