Age-Invariant Face Recognition by Multi-Feature Fusion and Decomposition with Self-attention

doi:10.1145/3472810

	Age-Invariant Face Recognition by Multi-Feature Fusion and Decomposition with Self-attention
	Yan, Chenggang 1; Meng, Lixuan 2; Li, Liang 3; Zhang, Jiehua 1; Wang, Zhan 4; Yin, Jian 2; Zhang, Jiyong 1; Sun, Yaoqi 1; Zheng, Bolun 1
	2022-02-01
发表期刊	ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
ISSN	1551-6857
卷号	18 期号:1 页码:18
摘要	Different from general face recognition, age-invariant face recognition (AIFR) aims at matching faces with a big age gap. Previous discriminative methods usually focus on decomposing facial feature into age-related and age-invariant components, which suffer from the loss of facial identity information. In this article, we propose a novel Multi-feature Fusion and Decomposition (MFD) framework for age-invariant face recognition, which learns more discriminative and robust features and reduces the intra-class variants. Specifically, we first sample multiple face images of different ages with the same identity as a face time sequence. Then, the multi-head attention is employed to capture contextual information from facial feature series, extraded by the backbone network. Next, we combine feature decomposition with fusion based on the face time sequence to ensure that the final age-independent features effectively represent the identity information of the face and have stronger robustness against the aging process. Besides, we also mitigate imbalanced age distribution in the training data by a re-weighted age loss. We experimented with the proposed MFD over the popular CACD and CACD-VS datasets, where we show that our approach improves the AIFR performance than previous state-of-the-art methods. We simultaneously show the performance of MFD on LFW dataset.
关键词	Age-invariant face recognition feature fusion feature decomposition self-attention
DOI	10.1145/3472810
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2020YFB1406604] ; National Natural Science Foundation of China[61931008] ; National Natural Science Foundation of China[61671196] ; National Natural Science Foundation of China[62071415] ; National Natural Science Foundation of China[62001146] ; National Natural Science Foundation of China[61701149] ; National Natural Science Foundation of China[61801157] ; National Natural Science Foundation of China[61971268] ; National Natural Science Foundation of China[61901145] ; National Natural Science Foundation of China[61901150] ; National Natural Science Foundation of China[61972123] ; National Natural Science Foundation of China[61771457] ; National Natural Science Foundation of China[61732007] ; Zhejiang Province Natural Science Foundation of China[LR17F030006] ; Zhejiang Province Natural Science Foundation of China[Q19F010030] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2020108] ; 111 Project[D17019]
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:000772639300006
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：118[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/18925
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Liang; Zhang, Jiehua; Zheng, Bolun
作者单位	1.Hangzhou Dianzi Univ, 280 Xuelin Rd, Hangzhou, Zhejiang, Peoples R China 2.Shandong Univ, 180 Wenhua Western Rd, Weihai, Shandong, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, 6 Kexueyuan South Rd, Beijing, Peoples R China 4.Moreal Pte Ltd, 20 LORONG 35 GEYLANG,03-08, Singapore, Singapore
推荐引用方式 GB/T 7714	Yan, Chenggang,Meng, Lixuan,Li, Liang,et al. Age-Invariant Face Recognition by Multi-Feature Fusion and Decomposition with Self-attention[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2022,18(1):18.
APA	Yan, Chenggang.,Meng, Lixuan.,Li, Liang.,Zhang, Jiehua.,Wang, Zhan.,...&Zheng, Bolun.(2022).Age-Invariant Face Recognition by Multi-Feature Fusion and Decomposition with Self-attention.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,18(1),18.
MLA	Yan, Chenggang,et al."Age-Invariant Face Recognition by Multi-Feature Fusion and Decomposition with Self-attention".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 18.1(2022):18.