The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

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), 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.