  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.
