Action Units Recognition by Pairwise Deep Architecture

Understand

In this paper, we propose a new automatic Action Units (AUs) recognition method used in a competition, Affective Behavior Analysis in-the-wild (ABAW).

• Our method tackles a problem of AUs label inconsistency among subjects by using pairwise deep architecture.
• While the baseline score is 0.31, our method achieved 0.67 in validation dataset of the competition.