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Affective Behaviour Analysis via Integrating Multi-Modal Knowledge
March 19, 2024, 4:47 a.m. | Wei Zhang, Feng Qiu, Chen Liu, Lincheng Li, Heming Du, Tiancheng Guo, Xin Yu
cs.CV updates on arXiv.org arxiv.org
Abstract: Affective Behavior Analysis aims to facilitate technology emotionally smart, creating a world where devices can understand and react to our emotions as humans do. To comprehensively evaluate the authenticity and applicability of emotional behavior analysis techniques in natural environments, the 6th competition on Affective Behavior Analysis in-the-wild (ABAW) utilizes the Aff-Wild2, Hume-Vidmimic2, and C-EXPR-DB datasets to set up five competitive tracks, i.e., Valence-Arousal (VA) Estimation, Expression (EXPR) Recognition, Action Unit (AU) Detection, Compound Expression (CE) …
abstract analysis arxiv authenticity behavior behavior analysis competition cs.cv devices emotions environments humans knowledge modal multi-modal natural react smart technology type via world
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