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--- |
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datasets: |
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- kunli-cs/MA-52 |
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- kunli-cs/MA-52_openpose_28kp |
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metrics: |
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- accuracy |
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- f1 |
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--- |
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This repository contains the official implementation and pretrained weights for our paper: |
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> Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition |
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> |
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> Kun Li, Dan Guo, Guoliang Chen, Chunxiao Fan, Jingyuan Xu, Zhiliang Wu, Hehe Fan, Meng Wang |
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> |
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> Published at AAAI 2025. |
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arXiv version: [arxiv.org/abs/2412.14719](https://arxiv.org/abs/2412.14719) |
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If you find our code useful, please consider citing the following works: |
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``` |
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@inproceedings{li2025prototypical, |
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title={Prototypical calibrating ambiguous samples for micro-action recognition}, |
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author={Li, Kun and Guo, Dan and Chen, Guoliang and Fan, Chunxiao and Xu, Jingyuan and Wu, Zhiliang and Fan, Hehe and Wang, Meng}, |
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, |
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volume={39}, |
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number={5}, |
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pages={4815--4823}, |
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year={2025} |
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} |
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@article{guo2024benchmarking, |
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title={Benchmarking Micro-action Recognition: Dataset, Methods, and Applications}, |
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author={Guo, Dan and Li, Kun and Hu, Bin and Zhang, Yan and Wang, Meng}, |
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journal={IEEE Transactions on Circuits and Systems for Video Technology}, |
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year={2024}, |
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volume={34}, |
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number={7}, |
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pages={6238-6252}, |
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} |
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``` |
