Toward Identity-Invariant Facial Expression Recognition: Disentangled Representation via Mutual Information Perspective
Daeha Kim,
Seongho Kim,
Byung Cheol Song
Abstract:This paper presents an identity-invariant facial expression recognition framework. It aims to make a facial expression recognition (FER) model independently understand facial expressions and identity (ID) attributes such as gender, age, and skin, which are entangled in face images. The learned representations of the FER model pursue robustness against unseen ID samples with large attribute differences. Specifically, attribute properties describing (facial) images are retrieved through a powerful pre-trained mo… Show more
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