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

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Oct 07, 2021
Xiaodong Chen, Xinchen Liu, Kun Liu, Wu Liu, Tao Mei
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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.

* 4 pages, 1 figures, ICCV 2021 Challenge, 2nd place solution for Kinetics-TPS Track in ICCV DeeperAction Workshop 2021  
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