Facial expression is one of the most powerful social signals for human beings to convey emotion and intention, hence automatic facial expression recognition (FER) has wide applications in human computer interaction and affective computing, it has attracted an increasing attention recently. Researches in this field have made great progress especially with the development of deep learning method. However, FER remains a challenging task due to individual differences. To address the issue, we propose a two-stage framework based on Difference Convolution Neural Network (DCNN) inspired by the facial...
