Consistent Sub-Decision Network for Low-Quality Masked Face Recognition

doi:10.1109/LSP.2022.3170246

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 生物识别与安全技术

	Consistent Sub-Decision Network for Low-Quality Masked Face Recognition
	Zhao, Weisong 1,2; Zhu, Xiangyu4,5 ; Shi, Haichao 3; Zhang, Xiao-Yu 3; Lei, Zhen4,5,6
发表期刊	IEEE SIGNAL PROCESSING LETTERS
ISSN	1070-9908
	2022
卷号	29 页码:1147-1151
通讯作者	Lei, Zhen(zlei@nlpr.ia.ac.cn)
摘要	The COVID-19 pandemic makes wearing masks mandatory in supermarkets, pharmacies, public transport, etc. Existing facial recognition systems encounter severe performance degradation as the masks occlude key facial regions. Recently, simulation-based methods are proposed to generate masked faces from unmasked faces. However, among simulated faces, there are low-quality samples with negative occlusion, which leads to ambiguous or absent facial features. In this paper, we propose a consistent sub-decision network to obtain sub-decisions that correspond to different facial regions and constrain sub-decisions by weighted bidirectional KL divergence to make the network concentrate on the upper faces without occlusion. In addition, we perform knowledge distillation to drive the masked face embeddings towards an approximation of the original data distribution to mitigate the information loss. Experiments show that the proposed method performs better than the baseline on public masked face recognition datasets, i.e., RMFD, MFR2, and MLFW.
关键词	Face recognition Faces Feature extraction Facial features Training Knowledge engineering Drives COVID-19 masked face recognition low-quality
DOI	10.1109/LSP.2022.3170246
收录类别	SCI
语种	英语
资助项目	National Key Research & Development Program[2020YFC2003901] ; National Natural Science Foundation of China[61871378] ; National Natural Science Foundation of China[U2003111] ; National Natural Science Foundation of China[61876178] ; National Natural Science Foundation of China[61872367] ; National Natural Science Foundation of China[62176256] ; National Natural Science Foundation of China[62106264] ; National Natural Science Foundation of China[61976229] ; Youth Innovation Promotion Association CAS[Y2021131] ; InnoHK Program
项目资助者	National Key Research & Development Program ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; InnoHK Program
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000793787300005
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/49369
专题	多模态人工智能系统全国重点实验室_生物识别与安全技术
通讯作者	Lei, Zhen
作者单位	1.Chinese Acad Sci, Inst Informat Engn, Beijing 100093, Peoples R China 2.Univ Chinese Acad Sci, Sch Cyber Secur, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Informat Engn, Beijing 100093, Peoples R China 4.Chinese Acad Sci, Inst Automat, CBSR NLPR, Beijing, Peoples R China 5.Univ Chinese Acad Sci UCAS, Sch Artificial Intelligence, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Hong Kong Inst Sci & Innovat, Ctr Artificial Intelligence & Robot, Hong Kong, Peoples R China
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhao, Weisong,Zhu, Xiangyu,Shi, Haichao,et al. Consistent Sub-Decision Network for Low-Quality Masked Face Recognition[J]. IEEE SIGNAL PROCESSING LETTERS,2022,29:1147-1151.
APA	Zhao, Weisong,Zhu, Xiangyu,Shi, Haichao,Zhang, Xiao-Yu,&Lei, Zhen.(2022).Consistent Sub-Decision Network for Low-Quality Masked Face Recognition.IEEE SIGNAL PROCESSING LETTERS,29,1147-1151.
MLA	Zhao, Weisong,et al."Consistent Sub-Decision Network for Low-Quality Masked Face Recognition".IEEE SIGNAL PROCESSING LETTERS 29(2022):1147-1151.