---
datasets:
- kunli-cs/MA-52
- kunli-cs/MA-52_openpose_28kp
metrics:
- accuracy
- f1
---

This repository contains the official implementation and pretrained weights for our paper:

> Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition
> 
> Kun Li, Dan Guo, Guoliang Chen, Chunxiao Fan, Jingyuan Xu, Zhiliang Wu, Hehe Fan, Meng Wang
> 
> Published at AAAI 2025.

arXiv version: [arxiv.org/abs/2412.14719](https://arxiv.org/abs/2412.14719)


If you find our code useful, please consider citing the following works:
```
@inproceedings{li2025prototypical,
  title={Prototypical calibrating ambiguous samples for micro-action recognition},
  author={Li, Kun and Guo, Dan and Chen, Guoliang and Fan, Chunxiao and Xu, Jingyuan and Wu, Zhiliang and Fan, Hehe and Wang, Meng},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={39},
  number={5},
  pages={4815--4823},
  year={2025}
}

@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},
}
```