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In this paper we present a new computer vision task, named video instance segmentation.
Segmentation of moving objects by long term video analysis
Peter Ochs, Jitendra Malik, and Thomas Brox · 2013
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Simultaneous detection and segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2014
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Supervoxel-consistent foreground propagation in video
Suyog Dutt Jain and Kristen Grauman · 2014
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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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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Instance-aware semantic segmentation via multi-task network cascades
Jifeng Dai, Kaiming He, and Jian Sun · 2016
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Seq-nms for video object detection
Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, and Thomas S. Huang · 2016
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Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
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Learning multi-domain convolutional neural networks for visual tracking
Hyeonseob Nam and Bohyung Han · 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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Clockwork convnets for video semantic segmentation
Evan Shelhamer, Kate Rakelly, Judy Hoffman, and Trevor Darrell · 2016
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Learning motion patterns in videos
Pavel Tokmakov, Karteek Alahari, and Cordelia Schmid · 2016
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High-speed tracking-by-detection without using image information
Erik Bochinski, Volker Eiselein, and Thomas Sikora · 2017
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One-shot video object segmentation
S. Caelles, K.-K. Maninis, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool · 2017
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Segflow: Joint learning for video object segmentation and optical flow
J. Cheng, Y.-H. Tsai, S. Wang, and M.-H. Yang · 2017
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Detect to track and track to detect
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 2017
Multi-object tracking with quadruplet convolutional neural networks
Jeany Son, Mooyeol Baek, Minsu Cho, and Bohyung Han · 2017
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Learning video object segmentation with visual memory
Pavel Tokmakov, Karteek Alahari, and Cordelia Schmid · 2017
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Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
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Flow-guided feature aggregation for video object detection
Jifeng Dai Lu Yuan Yichen Wei Xizhou Zhu, Yujie Wang · 2017
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Deep feature flow for video recognition
Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, and Yichen Wei · 2017
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mmdetection
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2018
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Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Fusionseg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos
Suyog Dutt Jain, Bo Xiong, and Kristen Grauman · 2017
Cited alongside, same era.
Fully convolutional instance-aware semantic segmentation
Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, and Yichen Wei · 2017
Cited alongside, same era.
Learning video object segmentation from static images
F. Perazzi, A. Khoreva, R. Benenson, B. Schiele, and A.Sorkine-Hornung · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2017
Cited alongside, same era.
Later among the works it cites.
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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Low-latency video semantic segmentation
Yule Li, Jianping Shi, and Dahua Lin · 2018
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Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas S. 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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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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MOTS: multi-object tracking and segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe · 2019
Closest in time.