Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition

This paper presents a novel facial expression recognition network, called Distract your Attention Network (DAN). Our method is based on two key observations in biological visual perception. Firstly, multiple facial expression classes share inherently similar underlying facial appearance, and their differences could be subtle. Secondly, facial expressions simultaneously exhibit themselves through multiple facial regions, and for recognition, a holistic approach by encoding high-order interactions among local features is required. To address these issues, this work proposes DAN with three key components: Feature Clustering Network (FCN), Multi-head Attention Network (MAN), and Attention Fusion Network (AFN).…

• NS
  Natural Science Foundation of Fujian Province

  Awards: 2020J01828, 2022J011112, 2020L3024
• WU
  Wuyi University

  Award: KLCCIIP2020202
• MU
  Minjiang University

  Awards: MJY19021, 2020L3024