The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, Stefanos, Zafeiriou, Irene Kotsia, Alice Baird, Chris Gagne, Chunchang Shao, and Guanyu Hu

TL;DR
The 6th ABAW Competition at CVPR 2024 advances human emotion understanding by benchmarking five affect recognition tasks with new datasets, protocols, and baseline systems, fostering progress in affective computing.
Contribution
This paper introduces the 6th ABAW Competition, detailing its tasks, datasets, protocols, and baseline systems, to promote standardized evaluation in affective behavior analysis.
Findings
Baseline systems established for each challenge.
Performance metrics outlined for future comparison.
Datasets and protocols described for reproducibility.
Abstract
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),…
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Taxonomy
TopicsBehavioral Health and Interventions
