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Yifei Huang, Yusuke Sugano, Yoichi Sato
Institute of Industrial Science, The University of Tokyo
CVPR2020
paper project page
action segmentation において,occlusion が発生していたり,カメラ外で行動が起きているなど,行動の観測が限られる場合に,複数のaction segmentの関係性を捉えることが重要である. これらの関係性を捉えるために,Graph-based Temporal Reasoning Module (GTRM)を提案. 既存のaction segmentation のモデルの後に追加することで大幅な精度向上を実現.
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INFO
author
Yifei Huang, Yusuke Sugano, Yoichi Sato
affiliation
Institute of Industrial Science, The University of Tokyo
conference or year
CVPR2020
link
paper
project page
概要
action segmentation において,occlusion が発生していたり,カメラ外で行動が起きているなど,行動の観測が限られる場合に,複数のaction segmentの関係性を捉えることが重要である.
これらの関係性を捉えるために,Graph-based Temporal Reasoning Module (GTRM)を提案.
既存のaction segmentation のモデルの後に追加することで大幅な精度向上を実現.
提案手法
検証
新規性
議論,展望
Comment
date
The text was updated successfully, but these errors were encountered: