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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
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2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.19344 |
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| _version_ | 1866910364008972288 |
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| author | Kollias, Dimitrios Tzirakis, Panagiotis Cowen, Alan Zafeiriou, Stefanos Kotsia, Irene Baird, Alice Gagne, Chris Shao, Chunchang Hu, Guanyu |
| author_facet | Kollias, Dimitrios Tzirakis, Panagiotis Cowen, Alan Zafeiriou, Stefanos Kotsia, Irene Baird, Alice Gagne, Chris Shao, Chunchang Hu, Guanyu |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_19344 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition Kollias, Dimitrios Tzirakis, Panagiotis Cowen, Alan Zafeiriou, Stefanos Kotsia, Irene Baird, Alice Gagne, Chris Shao, Chunchang Hu, Guanyu Computer Vision and Pattern Recognition 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. |
| title | The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2402.19344 |