Unconstrained facial action unit detection via latent feature domain

Unconstrained facial action unit detection via latent feature domain

Facial action unit (AU) detection in the wild is a challenging problem, due to the unconstrained variability in facial appearances and the lack of accurate annotations. Most existing methods depend on either impractical labor-intensive labeling or inaccurate pseudo labels. In this paper, we propo...

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書目詳細資料
Main Authors:	Shao, Zhiwen, Cai, Jianfei, Cham, Tat-Jen, Lu, Xuequan, Ma, Lizhuang
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Unconstrained Facial AU Detection Domain Adaptation
在線閱讀:	https://hdl.handle.net/10356/172649
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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