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Multi-Label Class Balancing Algorithm for Action Unit Detection

2020-02-08 21:56:28
Jaspar Pahl, Ines Rieger, Dominik Seuss
arXiv_CV
             
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.

Abstract (translated)

URL

https://arxiv.org/abs/2002.03238

PDF

https://arxiv.org/pdf/2002.03238.pdf

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