A Baseline Framework for Part-level Action Parsing and Action Recognition

Kun Liu; Tao Mei; Wu Liu; Xiaodong Chen; Xinchen Liu

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A Baseline Framework for Part-level Action Parsing and Action Recognition

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arxiv 2110.03368 v2 pith:R373P7XF submitted 2021-10-07 cs.CV

Xiaodong Chen , Xinchen Liu , Kun Liu , Wu Liu , Tao Mei This is my paper

classification cs.CV

keywords actionkinetics-tpsparsingpartpart-levelrecognitiontechnicalachieved

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This technical report introduces our 2nd place solution to Kinetics-TPS Track on Part-level Action Parsing in ICCV DeeperAction Workshop 2021. Our entry is mainly based on YOLOF for instance and part detection, HRNet for human pose estimation, and CSN for video-level action recognition and frame-level part state parsing. We describe technical details for the Kinetics-TPS dataset, together with some experimental results. In the competition, we achieved 61.37% mAP on the test set of Kinetics-TPS.

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