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Recently vision transformer has achieved tremendous success on image-level visual recognition tasks.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
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Non-local neural networks
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Tsm: Temporal shift module for efficient video understanding
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Video object segmentation using space-time memory networks
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Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Mots: Multi-object tracking and segmentation
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Conditional detr for fast training convergence
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Video transformer network
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1st place solution for youtubevos challenge 2021: Video instance segmentation
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Occluded video instance segmentation: Dataset and challenge
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Joakim Johnander, Emil Brissman, Martin Danelljan, and Michael Felsberg · 2020
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End-to-end video instance segmentation via spatial-temporal graph neural networks
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Segformer: Simple and efficient design for semantic segmentation with transformers
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Youtube-vis dataset 2021 version
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Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Ying Shan, Bin Feng, and Wenyu Liu · 2021
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Token shift transformer for video classification
Hao Zhang, Yanbin Hao, and Chong-Wah Ngo · 2021
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K-net: Towards unified image segmentation
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Deformable detr: Deformable transformers for end-to-end object detection
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Msg-transformer: Exchanging local spatial information by manipulating messenger tokens
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Pvtv2: Improved baselines with pyramid vision transformer
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Efficient video instance segmentation via tracklet query and proposal
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