2nd place solution for Kinetics-TPS Track in ICCV DeeperAction Workshop 2021
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.
@inproceedings{conf/iccv/ChenLLL021,
title={A Baseline Framework for Part-level Action Parsing and Action Recognition},
author={Xiaodong Chen, Xinchen Liu, Kun Liu, Wu Liu, Tao Mei},
booktitle={IEEE International Conference on Computer Vision (ICCV) Workshop},
year={2021}
}