The Affective Behavior Analysis in-the-wild (ABAW2) 2021 Competition is the
second -- following the first very successful ABAW Competition held in
conjunction with IEEE FG 2020- Competition that aims at automatically analyzing
affect. ABAW2 is split into three Challenges, each one addressing one of the
three main behavior tasks of valence-arousal estimation, basic expression
classification and action unit detection. All three Challenges are based on a
common benchmark database, Aff-Wild2, which is a large scale in-the-wild
database and the first one to be annotated for all these three tasks. In this
paper, we describe this Competition, to be held in conjunction with ICCV 2021.
We present the three Challenges, with the utilized Competition corpora. We
outline the evaluation metrics and present the baseline system with its
results. More information regarding the Competition is provided in the
Competition site: this https URL

本文描述了 ABAW2 比赛，该竞赛分为三个挑战，分别解决了价值 - 唤醒估计、基本表达分类和动作单元检测的三个主要行为任务，并使用 Aff-Wild2 数据库进行了评估。