qiushuocheng/CSL

Simple CodeBase for Skeleton Action Detection Evaluation

This is an repo for skeleton-based action detection, used for the evalution of the self-supervised models, e.g., HiCLR, PCM3.

Dataset

You need to download the PKUMMD untrimmed dataset here.

Test your model:

You need to choose your model arch and the params, change the config.yaml and run:

python main.py detection_ds_linear_evaluation --config /mnt/netdisk/zhangjh/Code/skeleton_detection/detection/config/release/gcn_ntu60/linear_eval/detection.yaml

Citation

If you find this repository useful, please consider citing our paper:

@article{zhang2022s,
    title={Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations},
    author={Zhang, Jiahang and Lin, Lilang and Liu, Jiaying},
    journal={arXiv preprint arXiv:2211.13466},
    year={2022},
}

@inproceedings{zhang2023prompted,
  title={Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning},
  author={Zhang, Jiahang and Lin, Lilang and Liu, Jiaying},
  booktitle={Proceedings of the 31st ACM International Conference on Multimedia},
  pages={7175--7183},
  year={2023}
}

Acknowledgement

We sincerely thank the authors for releasing the code of their valuable works. Our code is built based on the PKUMMD.

Licence

This project is licensed under the terms of the MIT license.