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Recently, several Space-Time Memory based networks have shown that the object cues (e.g.
Learning to detect natural image boundaries using local brightness, color, and texture cues
David R. Martin, Charless C. Fowlkes, and Jitendra Malik · 2004
Earlier work this paper cites.
FlowNet: Learning optical flow with convolutional networks
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Video segmentation via object flow
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SegFlow: Joint learning for video object segmentation and optical flow
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Yuan-Ting Hu, Jia-Bin Huang, and Alexander G. Schwing · 2017
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The 2017 DAVIS challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbelaez, Alexander Sorkine-Hornung, and Luc Van Gool · 2017
Earlier work this paper cites.
Online adaptation of convolutional neural networks for video object segmentation
Paul Voigtlaender and Bastian Leibe · 2017
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Accurate optical flow via direct cost volume processing
Jia Xu, René Ranftl, and Vladlen Koltun · 2017
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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
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Blazingly fast video object segmentation with pixel-wise metric learning
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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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Video object segmentation by learning location-sensitive embeddings
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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
Fast user-guided video object segmentation by interaction-and-propagation networks
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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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PyTorch: An imperative style, high-performance deep learning library
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SDC - stacked dilated convolution: A unified descriptor network for dense matching tasks
René Schuster, Oliver Wasenmüller, Christian Unger, and Didier Stricker · 2019
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FEELVOS: fast end-to-end embedding learning for video object segmentation
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Jonathon Luiten, Paul Voigtlaender, and Bastian Leibe · 2018
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Fast video object segmentation by reference-guided mask propagation
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PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
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Non-local neural networks
Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, and Kaiming He · 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 L. Price, Scott Cohen, and Thomas S. Huang · 2018
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Dynamic video segmentation network
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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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Boltvos: Box-level tracking for video object segmentation
Paul Voigtlaender, Jonathon Luiten, and Bastian Leibe · 2019
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Asymmetric non-local neural networks for semantic segmentation
Zhen Zhu, Mengdu Xu, Song Bai, Tengteng Huang, and Xiang Bai · 2019
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State-aware tracker for real-time video object segmentation
Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, and Donglian Qi · 2020
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Video object segmentation with episodic graph memory networks
Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, and Luc Van Gool · 2020
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Kernelized memory network for video object segmentation
Hongje Seong, Junhyuk Hyun, and Euntai Kim · 2020
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RAFT: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Depth-aware space-time memory network for video object segmentation
Haozhe Xie, Yunmu Huang, Anni Xu, Jinpeng Lan, and Wenxiu Sun · 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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Deep residual learning for image recognition
Peng Zhang, Li Hu, Bang Zhang, and Pan Pan · 2020
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