End-to-End Video Instance Segmentation With Transformers

Yuqing Wang; Zhaoliang Xu; Xinlong Wang; Chunhua Shen; Baoshan Cheng; Hao Shen; Huaxia Xia

doi:10.1109/cvpr46437.2021.00863

CVPR2021顶会

End-to-End Video Instance Segmentation With Transformers

Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia

DOI 出版方

2021年份

198顶会引用

摘要

speed among all existing VIS models, and achieves the best result among methods using single model on the YouTube-VIS dataset. For the first time, we demonstrate a much simpler and faster video instance segmentation framework built upon Transformers, achieving competitive accuracy. We hope that VisTR can motivate future research for more video understanding tasks.