This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th ABAW Competition addresses contemporary challenges in understanding human emotions and behaviors, crucial for the development of human-centered technologies. In more detail, the Competition focuses on affect related benchmarking tasks and comprises of five sub-challenges: i) Valence-Arousal Estimation (the target is to estimate two continuous affect dimensions, valence and arousal), ii) Expression Recognition (the target is to recognise between the mutually exclusive classes of the 7 basic expressions and 'other'), iii) Action Unit Detection (the target is to detect 12 action units), iv) Compound Expression Recognition (the target is to recognise between the 7 mutually exclusive compound expression classes), and v) Emotional Mimicry Intensity Estimation (the target is to estimate six continuous emotion dimensions). In the paper, we present these Challenges, describe their respective datasets and challenge protocols (we outline the evaluation metrics) and present the baseline systems as well as their obtained performance. More information for the Competition can be found in: https://affective-behavior-analysis-in-the-wild.github.io/6th.

翻译：本文介绍了第六届野外情感行为分析（ABAW）竞赛，该竞赛是与IEEE CVPR 2024联合举办的相应研讨会的一部分。第六届ABAW竞赛聚焦于理解人类情感与行为的前沿挑战，这对以人为中心的技术开发至关重要。具体而言，本竞赛关注情感相关基准测试任务，包含五个子挑战：i) 效价-唤醒度估计（目标为估计两个连续情感维度：效价和唤醒度），ii) 表情识别（目标为识别7种基本表情与“其他”互斥类别），iii) 动作单元检测（目标为检测12个动作单元），iv) 复合表情识别（目标为识别7种互斥复合表情类别），以及v) 情感模仿强度估计（目标为估计六个连续情感维度）。本文介绍了这些挑战任务、相应数据集与竞赛协议（概述了评估指标），并展示了基线系统及其性能表现。竞赛更多信息请见：https://affective-behavior-analysis-in-the-wild.github.io/6th。