Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. (arXiv:2109.07270v4 [cs.CV] UPDATED)

We present a novel facial expression recognition network, called Distract
your Attention Network (DAN). Our method is based on two key observations.
Firstly, multiple classes share inherently similar underlying facial
appearance, and their differences could be subtle. Secondly, facial expressions
exhibit themselves through multiple facial regions simultaneously, and the
recognition requires a holistic approach by encoding high-order interactions
among local features. To address these issues, we propose our DAN with three
key components: Feature Clustering Network (FCN), Multi-head cross Attention …

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