This document is the results of the research project funded by the National Natural Science Foundation of China (No. 61977027 ) and the Hubei Province Technological Innovation Major Project (No. 2019AAA044).
机构署名：
本校为第一机构
院系归属：
国家数字化学习工程技术研究中心
摘要：
Multi-view facial expression recognition (FER) is a challenging computer vision task due to the large intra-class difference caused by viewpoint variations. This paper presents a novel orthogonal channel attention-based multi-task learning (OCA-MTL) approach for FER. The proposed OCA-MTL approach adopts a Siamese convolutional neural network (CNN) to force the multi-view expression recognition model to learn the same features as the frontal expression recognition model. To further enhance the recognition accuracy of non-frontal expression, the ...
