  The Affective Behavior Analysis in-the-wild (ABAW) 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, present both the baseline system and the top-3 performing teams'
methodologies per Challenge and finally present their obtained results. More
information regarding the Competition, the leaderboard of each Challenge and
details for accessing the utilized database, are provided in the Competition
site:
http://ibug.doc.ic.ac.uk/resources/fg-2020-competition-affective-behavior-analysis.
