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Structural Dependence Learning Based on Self-attention for Face Alignment

文献类型：期刊论文

作者Biying Li1,2; Zhiwei Liu1; Wei Zhou3; Haiyun Guo1; Xin Wen4; Min Huang2; Jinqiao Wang1,2
刊名Machine Intelligence Research
出版日期2024
卷号21期号:3页码:514-525
关键词Computer vision, face alignment, self-attention, facial structure, contextual information
ISSN号2731-538X
DOI10.1007/s11633-023-1465-1
英文摘要Self-attention aggregates similar feature information to enhance the features. However, the attention covers nonface areas in face alignment, which may be disturbed in challenging cases, such as occlusions, and fails to predict landmarks. In addition, the learned feature similarity variance is not large enough in the experiment. To this end, we propose structural dependence learning based on self-attention for face alignment (SSFA). It limits the self-attention learning to the facial range and adaptively builds the significant landmark structure dependency. Compared with other state-of-the-art methods, SSFA effectively improves the performance on several standard facial landmark detection benchmarks and adapts more in challenging cases.
源URL[http://ir.ia.ac.cn/handle/173211/56479]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100083, China
3.Alpha (Beijing) Private Equity, Beijing 100083, China
4.School of Computer Science, National University of Defense Technology, Changsha 410073, China
推荐引用方式
GB/T 7714		 Biying Li,Zhiwei Liu,Wei Zhou,et al. Structural Dependence Learning Based on Self-attention for Face Alignment[J]. Machine Intelligence Research,2024,21(3):514-525.
APA Biying Li.,Zhiwei Liu.,Wei Zhou.,Haiyun Guo.,Xin Wen.,...&Jinqiao Wang.(2024).Structural Dependence Learning Based on Self-attention for Face Alignment.Machine Intelligence Research,21(3),514-525.
MLA Biying Li,et al."Structural Dependence Learning Based on Self-attention for Face Alignment".Machine Intelligence Research 21.3(2024):514-525.

入库方式： OAI收割

来源：自动化研究所

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