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)比赛是相应ABAW研讨会的一部分,将于2023年与IEEE计算机视觉和模式识别大会(CVPR)一起举行。第五届ABAW比赛是继ECCV 2022、IEEE CVPR 2022、ICCV 2021、IEEE FG 2020和CVPR 2017会议上举办的比赛之后的延续,致力于自动化分析情感。对于今年的比赛,我们提供两个语料库:i)Aff-Wild2数据库的扩展版本和ii)Hume-Reaction数据集。前一个数据库是一个包含约600个视频、约3M帧的视听数据库,并针对以下内容进行了标注:a)两个连续情感维度-价值(一个人的情绪是积极还是消极)和唤醒(一个人是活跃还是被动);b)基本表情(例如快乐,悲伤,中性状态);和c)面部肌肉行为(即,动作单元)。后一个数据集是一个视听数据库,其中注释了个体对情感刺激的反应,注释了七种情感表达强度。因此,第五届ABAW比赛包括四个挑战:i)单任务价值-唤醒估计,ii)单任务表情分类,iii)单任务动作单元检测和iv)情感反应强度估计。在本文中,我们介绍这些挑战及其语料库,概述评估指标,介绍基线系统并说明其获得的性能。