Single-Shot Scale-Aware Network for Real-Time Face Detection

doi:10.1007/s11263-019-01159-3

	Single-Shot Scale-Aware Network for Real-Time Face Detection
	Zhang, Shifeng1,2,3 ; Wen, Longyin 4; Shi, Hailin 5; Lei, Zhen1,2,3 ; Lyu, Siwei 6; Li, Stan Z.1,2,3
刊名	INTERNATIONAL JOURNAL OF COMPUTER VISION
	2019-06-01
卷号	127 期号:6-7 页码:537-559
关键词	Face detection Single-shot Scale-aware Class imbalance
ISSN号	0920-5691
DOI	10.1007/s11263-019-01159-3
通讯作者	Lei, Zhen(zlei@nlpr.ia.ac.cn)
英文摘要	In this work, we describe a single-shot scale-aware convolutional neural network based face detector (SFDet). In comparison with the state-of-the-art anchor-based face detection methods, the main advantages of our method are summarized in four aspects. (1) We propose a scale-aware detection network using a wide scale range of layers associated with appropriate scales of anchors to handle faces with various scales, and describe a new equal density principle to ensure anchors with different scales to be evenly distributed on the image. (2) To improve the recall rates of faces with certain scales (e.g., the scales of the faces are quite different from the scales of designed anchors), we design a new anchor matching strategy with scale compensation. (3) We introduce an IoU-aware weighting scheme for each training sample in classification loss calculation to encode samples accurately in training process. (4) Considering the class imbalance issue, a max-out background strategy is used to reduce false positives. Several experiments are conducted on public challenging face detection datasets, i.e., WIDER FACE, AFW, PASCAL Face, FDDB, and MAFA, to demonstrate that the proposed method achieves the state-of-the-art results and runs at 82.1 FPS for the VGA-resolution images.
资助项目	Chinese National Natural Science Foundation[61876178] ; Chinese National Natural Science Foundation[61473291] ; Chinese National Natural Science Foundation[61806196] ; National Key Research and Development Plan[2016YFC0801002] ; JD Grapevine Plan ; Authen Metric RD Funds
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000468525900002
资助机构	Chinese National Natural Science Foundation ; National Key Research and Development Plan ; JD Grapevine Plan ; Authen Metric RD Funds
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/24230]
专题	中国科学院自动化研究所
通讯作者	Lei, Zhen
作者单位	1.Chinese Acad Sci, Inst Automat, CBSR, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.JD Digits, Mountain View, CA USA 5.JD AI Res, Beijing, Peoples R China 6.SUNY Albany, Dept Comp Sci, Albany, NY 12222 USA
推荐引用方式 GB/T 7714	Zhang, Shifeng,Wen, Longyin,Shi, Hailin,et al. Single-Shot Scale-Aware Network for Real-Time Face Detection[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2019,127(6-7):537-559.
APA	Zhang, Shifeng,Wen, Longyin,Shi, Hailin,Lei, Zhen,Lyu, Siwei,&Li, Stan Z..(2019).Single-Shot Scale-Aware Network for Real-Time Face Detection.INTERNATIONAL JOURNAL OF COMPUTER VISION,127(6-7),537-559.
MLA	Zhang, Shifeng,et al."Single-Shot Scale-Aware Network for Real-Time Face Detection".INTERNATIONAL JOURNAL OF COMPUTER VISION 127.6-7(2019):537-559.