  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.
