Paddle-Skeleton-Action-Recognition

DecoupleGCN-DropGraph, ASGCN, AGCN, STGCN.

You need to download Paddle Video and add them in the folder about action recognition.

Ensamble these methods can yield good results. We won the top 1% in the figure skater action recognition competition held by Baidu 2021.

Reference

@misc{LiASGCN,
      title={Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition}, 
      author={Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian},
      year={2019},
      eprint={1904.12659},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}
@inproceedings{cheng2020eccv,  
  title     = {Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition},  
  author    = {Ke Cheng and Yifan Zhang and Congqi Cao and Lei Shi and Jian Cheng and Hanqing Lu},  
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},  
  year      = {2020},  
}
@article{shi_skeleton-based_2019,
    title = {Skeleton-{Based} {Action} {Recognition} with {Multi}-{Stream} {Adaptive} {Graph} {Convolutional} {Networks}},
    journal = {arXiv:1912.06971 [cs]},
    author = {Shi, Lei and Zhang, Yifan and Cheng, Jian and LU, Hanqing},
    month = dec,
    year = {2019},
}
@inproceedings{2sagcn2019cvpr,  
      title     = {Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition},  
      author    = {Lei Shi and Yifan Zhang and Jian Cheng and Hanqing Lu},  
      booktitle = {CVPR},  
      year      = {2019},  
}
@inproceedings{yan2018spatial,
      title={Spatial temporal graph convolutional networks for skeleton-based action recognition},
      author={Yan, Sijie and Xiong, Yuanjun and Lin, Dahua},
      booktitle={Thirty-Second AAAI Conference on Artificial Intelligence},
      year={2018}
}

GitHub

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