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.

翻译：第五届野外情感行为分析（ABAW）竞赛是将在2023年IEEE计算机视觉与模式识别会议（CVPR）上举办的ABAW研讨会的一部分。本届ABAW竞赛延续了ECCV 2022、IEEE CVPR 2022、ICCV 2021、IEEE FG 2020及CVPR 2017会议的相关竞赛，致力于自动情感分析。本年度竞赛采用两个数据集：（i）Aff-Wild2数据库的扩展版本及（ii）Hume-Reaction数据集。前者为包含约600段视频（约300万帧）的视听数据库，标注内容包括：a)两个连续情感维度——效价（个体积极/消极程度）与唤醒度（个体活跃/被动程度）；b)基本表情（如快乐、悲伤、中性状态）；c)面部肌肉微动作（即动作单元）。后者为视听数据集，标注了个体对情感刺激的七种情感表达强度反应。因此第五届ABAW竞赛涵盖四项挑战：（i）单任务效价-唤醒度估计；（ii）单任务表情分类；（iii）单任务动作单元检测；（iv）情感反应强度估计。本文介绍上述挑战及其数据集，概述评估指标，呈现基线系统并展示其性能表现。