metadata
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
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},
}