Multi-Label Class Balancing Algorithm for Action Unit Detection
Isolated facial movements, so-called Action Units, can describe combined emotions or physical states such as pain. As datasets are limited and mostly imbalanced, we present an approach incorporating a multi-label class balancing algorithm. This submission is subject to the Action Unit detection task of the Affective Behavior Analysis in-the-wild (ABAW) challenge at the IEEE Conference on Face and Gesture Recognition 2020.
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Action Unit DetectionGesture RecognitionSimilar Papers 제목 키워드 기반
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