中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Leveraging face-prior knowledge for general face representation learning

文献类型:期刊论文

作者Sun, Haomiao; He, Mingjie; Shan, Shiguang1; Han, Hu
刊名PATTERN RECOGNITION
出版日期2025-12-01
卷号168页码:8
关键词Face analysis General face representation learning Multi-level face-prior knowledge Auxiliary tasks
ISSN号0031-3203
DOI10.1016/j.patcog.2025.111784
英文摘要Face analysis, such as face attribute recognition and expression classification, has achieved remarkable progress via supervised deep learning methods. Although effective, supervised learning relies on a large amount of annotated data, which is labor-intensive. Besides, traditional models designed for individual tasks cannot generate a general facial representation that can be applied across multiple tasks. To address these issues, we present a novel general face representation learning method that empowers diverse face analysis tasks by incorporating auxiliary tasks with face-prior knowledge. Our approach employs three auxiliary tasks at pixel, patch, and component levels to exploit information from face images, enabling the model to learn multi-level face representations beneficial to diverse downstream tasks. We evaluate the efficacy of our approach on various downstream face analysis tasks, including facial action unit detection, expression classification, age estimation, and face attribute recognition. Specifically, our method surpasses the state-of-the-art by 3.5% for action unit detection and 1.53% for expression classification. On the AgeDB dataset, our method reduces the mean error by 0.64. Furthermore, in face attribute classification tasks, our model also achieves state-of-the-art performance. Experimental results also show that our proposed method outperforms previous methods under both full-shot and few-shot protocols.
资助项目National Natural Science Foundation of China[U2336213] ; National Natural Science Foundation of China[62306298]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001502403800001
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.204/handle/2XEOYT63/42329]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Shan, Shiguang
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab AI Safety, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Sun, Haomiao,He, Mingjie,Shan, Shiguang,et al. Leveraging face-prior knowledge for general face representation learning[J]. PATTERN RECOGNITION,2025,168:8.
APA Sun, Haomiao,He, Mingjie,Shan, Shiguang,&Han, Hu.(2025).Leveraging face-prior knowledge for general face representation learning.PATTERN RECOGNITION,168,8.
MLA Sun, Haomiao,et al."Leveraging face-prior knowledge for general face representation learning".PATTERN RECOGNITION 168(2025):8.

入库方式: OAI收割

来源:计算技术研究所

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