Analysing Affective Behavior in the First ABAW 2020 Competition

Analysing Affective Behavior in the First ABA W 2020 Competition Dimitrios Kollias 1, Attila Schulc 2, Elnar Hajiyev 2 and Stefanos Zafeiriou 1 1 Department of Computing, Imperial College London, UK 2 Realeyes - Emotional Intelligence Abstract -- The Affective Behavior Analysis in-the- wild (ABA W) 2020 Competition is the first Competition aiming at automatic analysis of the three main behavior tasks of valence-arousal estimation, basic expression recognition and action unit detection. It is split into three Challenges, each one addressing a respective behavior task. For the Challenges, we provide a common benchmark database, Aff-Wild2, which is a large scale in-the-wild database and the first one annotated for all these three tasks. In this paper, we describe this Competition, to be held in conjunction with the IEEE Conference on Face and Gesture Recognition, May 2020, in Buenos Aires, Argentina. We present the three Challenges, with the utilized Competition corpora. We outline the evaluation metrics and present the baseline methodologies and the obtained results when these are applied to each Challenge.