ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges

Dimitrios Kollias

147 citations0/0 files storedIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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Emotion and Mood Recognition Face recognition and analysis Human Pose and Action Recognition

Abstract

This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022. The 3rd ABAW Competition is a continuation of the Competitions held at ICCV 2021, IEEE FG 2020 and IEEE CVPR 2017 Conferences, and aims at automatically analyzing affect. This year the Competition encompasses four Challenges: i) uni-task Valence-Arousal Estimation, ii) uni-task Expression Classification, iii) uni-task Action Unit Detection, and iv) MultiTask-Learning. All the Challenges are based on a common benchmark database, Aff-Wild2, which is a large scale in-the-wild database and the first one to be annotated in terms of valence-arousal, expressions and action units. In this paper, we present the four Challenges, with the utilized Competition corpora, we outline the evaluation metrics and present both the baseline systems and the top performing teams’ per Challenge. Finally we illustrate the obtained results of the baseline systems and of all participating teams. More information regarding the Competition and the leaderboard for each Challenge can be found in the competition’s website: http://ibug.doc.ic.ac.uk/resources/cvpr-2022-3rd-abaw.

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References

1998The Expression Of The Emotions In Man And Animals 1978Evidence of convergent validity on the dimensions of affect.2002Facial Action Coding System (FACS)2019Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond 2017Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge 2020Analysing Affective Behavior in the First ABAW 2020 Competition 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace 2021Analysing Affective Behavior in the second ABAW2 Competition

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2024Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets 2024A Review of Key Technologies for Emotion Analysis Using Multimodal Information 2022A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition 2022Transformer-based Multimodal Information Fusion for Facial Expression Analysis 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges

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