README.md

metadata

task_categories:
  - video-classification
tags:
  - micro-action
size_categories:
  - 1K<n<10K
extra_gated_heading: You need to agree to share your contact information to access this dataset
extra_gated_description: >-
  The Micro-Action-52 (MA-52) dataset is only to be used for **non-commercial
  scientific purposes**. You may request access to the dataset by completing the
  [Google Form](https://forms.gle/avQQiRWvbxa1nDFQ6) provided and the [LA
  files](https://drive.google.com/file/d/1vAussMwE9GrL5Vt1MpSQeSmVbUMsgPhw/view?usp=sharing).
  We will respond promptly upon receipt of your application. If you have
  difficulty filling out the form, we can also accept the application by
  [email](mailto:[email protected]).
gated: true
gated_fields:
  - name: Full Name
    description: Your full name
  - name: Affiliation
    description: Your institution, organization, or university
  - name: Email
    description: A valid academic or professional email address
  - name: Intended Use
    description: Briefly describe how you intend to use this dataset

Introduction

For more information about Micro-Action analysis, please refer to https://github.com/VUT-HFUT/Micro-Action.

The Micro-Action-52 (MA-52) dataset is designed specifically for Micro-Action Recognition research. The Micro-Action-52 (MA-52) dataset is only to be used for non-commercial scientific purposes. You may request access to the dataset by completing the Google Form provided and the LA files. We will respond promptly upon receipt of your application. If you have difficulty filling out the form, we can also accept the application by email.

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 paper in your publications if it helps 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}
}

@article{li2024mmad,
  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},
  journal={arXiv preprint arXiv:2407.05311},
  year={2024}
}