Micro-Attention-for-Micro-Expression

Micro-Attention for Micro-Expression Recognition.

by Chongyang Wang, Min Peng.

Introduction

This repository contains the Micro Attention module described in the paper "Micro-Attention for Micro-Expression recognition" (https://arxiv.org/abs/1811.02360).

Micro-Attention outperformed the method described in the paper "From Macro to Micro Expression Recognition: Deep Learning on Small Datasets Using Transfer Learning", the latter one won the first place in the Facial Micro-Expression Grand Challenge (MEGC2018) at FG 2018. (https://www.researchgate.net/profile/Min_Peng15/publication/325638548_From_Macro_to_Micro_Expression_Recognition_Deep_Learning_on_Small_Datasets_Using_Transfer_Learning/links/5b309ffd4585150d23cf3797/From-Macro-to-Micro-Expression-Recognition-Deep-Learning-on-Small-Datasets-Using-Transfer-Learning.pdf)

Citation

If it is helpful, please cite:

@article{wang2020micro,
  title={Micro-attention for micro-expression recognition},
  author={Wang, Chongyang and Peng, Min and Bi, Tao and Chen, Tong},
  journal={Neurocomputing},
  volume={410},
  pages={354--362},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{peng2018macro,
  title={From macro to micro expression recognition: Deep learning on small datasets using transfer learning},
  author={Peng, Min and Wu, Zhan and Zhang, Zhihao and Chen, Tong},
  booktitle={2018 13th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2018)},
  pages={657--661},
  year={2018},
  organization={IEEE}
}