The fifth Affective Behavior Analysis in-the-wild (ABAW) Competition is part
of the respective ABAW Workshop which will be held in conjunction with IEEE
Computer Vision and Pattern Recognition Conference (CVPR), 2023. The 5th ABAW
Competition is a continuation of the Competitions held at ECCV 2022, IEEE CVPR
2022, ICCV 2021, IEEE FG 2020 and CVPR 2017 Conferences, and is dedicated at
automatically analyzing affect. For this year's Competition, we feature two
corpora: i) an extended version of the Aff-Wild2 database and ii) the
Hume-Reaction dataset. The former database is an audiovisual one of around 600
videos of around 3M frames and is annotated with respect to:a) two continuous
affect dimensions -valence (how positive/negative a person is) and arousal (how
active/passive a person is)-; b) basic expressions (e.g. happiness, sadness,
neutral state); and c) atomic facial muscle actions (i.e., action units). The
latter dataset is an audiovisual one in which reactions of individuals to
emotional stimuli have been annotated with respect to seven emotional
expression intensities. Thus the 5th ABAW Competition encompasses four
Challenges: i) uni-task Valence-Arousal Estimation, ii) uni-task Expression
Classification, iii) uni-task Action Unit Detection, and iv) Emotional Reaction
Intensity Estimation. In this paper, we present these Challenges, along with
their corpora, we outline the evaluation metrics, we present the baseline
systems and illustrate their obtained performance.

本文介绍了于 CVPR 2023 会议举办的第五届 Affective Behavior Analysis in-the-wild (ABAW) Competition，其中包括四个挑战，使用了两个数据集，分别是 Aff-Wild2 database 和 Hume-Reaction dataset，这些挑战包括单任务的情感估计、表情分类、动作单位检测和情绪反应强度估计。