Micro-Attention for Micro-Expression Recognition.

by Chongyang Wang, Min Peng.

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)

If it is helpful, please cite:

Micro-Attention for Micro-Expression recognition. Chongyang Wang, Min Peng, Tao Bi, Tong Chen. arXiv preprint arXiv:1811.02360, 2018

From Macro to Micro Expression Recognition: Deep Learning on Small Datasets Using Transfer Learning. Min Peng, Wu Zhan, Zhihao Zhang, Tong Chen. IEEE International Conference on Automatic Face & Gesture Recognition 2018.