shanaka95/MMN-3d-poses
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The Micro-Action-52 (MA-52) dataset is only to be used for non-commercial scientific purposes. Please complete the fields below and sign the License Agreement. Applications without a valid institutional email address (e.g., Gmail, QQ, 163, Outlook) will not be approved. We will respond promptly upon receipt of your application. If you have difficulty filling out the form, you may also apply via the Google Form or by email.
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Introduction
The Micro-Action-52 (MA-52) dataset is designed specifically for Micro-Action Recognition research. For more information about micro-action analysis, please refer to our GitHub repository.
Access
The MA-52 dataset is only to be used for non-commercial scientific purposes. To request access, please:
- Fill in the access form on this page using your institutional email address.
- Sign the License Agreement.
Applications without a valid institutional email address (e.g., Gmail, QQ, 163, Outlook) will not be approved. We will respond promptly upon receipt of your application. If you have difficulty filling out the form, you may also apply via the Google Form or by email.
Test Set
Please note that the test set is withheld for competition purposes. You can evaluate your results by following the provided instructions.
Citation
Please consider citing the related papers in your publications if they help your research.
@article{guo2024benchmarking,
title={Benchmarking Micro-Action Recognition: Dataset, Methods, and Applications},
author={Guo, Dan and Li, Kun and Hu, Bin and Zhang, Yan and Wang, Meng},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
year={2024},
volume={34},
number={7},
pages={6238--6252},
publisher={IEEE},
doi={10.1109/TCSVT.2024.3358415}
}
@inproceedings{li2025mmad,
title={Mmad: Multi-label micro-action detection in videos},
author={Li, Kun and Liu, Pengyu and Guo, Dan and Wang, Fei and Wu, Zhiliang and Fan, Hehe and Wang, Meng},
booktitle={2025 IEEE/CVF International Conference on Computer Vision (ICCV)},
pages={13225--13236},
year={2025},
organization={IEEE}
}
@inproceedings{li2026ma,
title={MA-Bench: Towards fine-grained micro-action understanding},
author={Li, Kun and Gu, Jihao and Wang, Fei and Wu, Zhiliang and Fan, Hehe and Guo, Dan},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={20118--20128},
year={2026}
}
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