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Meta-Auxiliary Learning for Micro-Expression Recognition
April 19, 2024, 4:44 a.m. | Jingyao Wang, Yunhan Tian, Yuxuan Yang, Xiaoxin Chen, Changwen Zheng, Wenwen Qiang
cs.CV updates on arXiv.org arxiv.org
Abstract: Micro-expressions (MEs) are involuntary movements revealing people's hidden feelings, which has attracted numerous interests for its objectivity in emotion detection. However, despite its wide applications in various scenarios, micro-expression recognition (MER) remains a challenging problem in real life due to three reasons, including (i) data-level: lack of data and imbalanced classes, (ii) feature-level: subtle, rapid changing, and complex features of MEs, and (iii) decision-making-level: impact of individual differences. To address these issues, we propose a …
abstract applications arxiv cs.cv data detection emotion emotion detection feelings hidden however life meta micro movements people recognition type
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