Facial Expression Recognition based on Multi-head Cross Attention Network

Understand

Facial expression in-the-wild is essential for various interactive computing domains.

• In this paper, we proposed an extended version of DAN model to address the VA estimation and facial expression challenges introduced in ABAW 2022.
• Our method produced preliminary results of 0.44 of mean CCC value for the VA estimation task, and 0.33 of the average F1 score for the expression classification task.