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Multi-Label Class Balancing Algorithm for Action Unit Detection
Published 8 Feb 2020 in cs.CV, cs.LG, and eess.IV | (2002.03238v1)
Abstract: 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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