Emotion Recognition for In-the-wild Videos [article]

Hanyu Liu, Jiabei Zeng, Shiguang Shan, Xilin Chen
2020 arXiv   pre-print
This paper is a brief introduction to our submission to the seven basic expression classification track of Affective Behavior Analysis in-the-wild Competition held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020. Our method combines Deep Residual Network (ResNet) and Bidirectional Long Short-Term Memory Network (BLSTM), achieving 64.3% accuracy and 43.4% final metric on the validation set.
arXiv:2002.05447v1 fatcat:vyrjmivndjbp5i3c7codcr7hhe