CSpace
Leveraging auxiliary-tasks for height and weight estimation with pose-disentanglement
Han, Dan1,2; Zhang, Jie1,2; Shan, Shiguang1,2
2025-11-12
发表期刊FRONTIERS OF COMPUTER SCIENCE
ISSN2095-2228
卷号20期号:4页码:12
摘要Body height and weight estimation from a single non-frontal face image suffers from poor performance due to large face pose variance and lack of labeled data. In this paper, we propose a face-based body height and weight estimation method that leverages auxiliary tasks and pose disentanglement to address these issues. Specifically, inspired by the relevance of gender, age, height and weight estimation tasks, we employ gender and age estimation as auxiliary tasks to improve the performance of primary tasks, i.e., height and weight estimation. Besides, we remove the pose-relevant feature from input to further promote the performance of both primary tasks and auxiliary tasks. Extensive experiments are conducted on both small- and large-pose datasets, demonstrating the superiority of the proposed method.
关键词face-based body height and weight estimationm auxiliary-tasks learning pose disentanglement
DOI10.1007/s11704-025-50162-0
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号WOS:001614235900001
出版者HIGHER EDUCATION PRESS
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/43094
专题中国科学院计算技术研究所
通讯作者Zhang, Jie
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab AI Safety, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Han, Dan,Zhang, Jie,Shan, Shiguang. Leveraging auxiliary-tasks for height and weight estimation with pose-disentanglement[J]. FRONTIERS OF COMPUTER SCIENCE,2025,20(4):12.
APA Han, Dan,Zhang, Jie,&Shan, Shiguang.(2025).Leveraging auxiliary-tasks for height and weight estimation with pose-disentanglement.FRONTIERS OF COMPUTER SCIENCE,20(4),12.
MLA Han, Dan,et al."Leveraging auxiliary-tasks for height and weight estimation with pose-disentanglement".FRONTIERS OF COMPUTER SCIENCE 20.4(2025):12.
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