CASIA OpenIR
Single-Shot Scale-Aware Network for Real-Time Face Detection
Zhang, Shifeng1,2,3; Wen, Longyin4; Shi, Hailin5; Lei, Zhen1,2,3; Lyu, Siwei6; Li, Stan Z.1,2,3
Source PublicationINTERNATIONAL JOURNAL OF COMPUTER VISION
ISSN0920-5691
2019-06-01
Volume127Issue:6-7Pages:537-559
Corresponding AuthorLei, Zhen(zlei@nlpr.ia.ac.cn)
AbstractIn 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.
KeywordFace detection Single-shot Scale-aware Class imbalance
DOI10.1007/s11263-019-01159-3
Indexed BySCI
Language英语
Funding ProjectAuthen Metric RD Funds ; JD Grapevine Plan ; National Key Research and Development Plan[2016YFC0801002] ; Chinese National Natural Science Foundation[61806196] ; Chinese National Natural Science Foundation[61473291] ; Chinese National Natural Science Foundation[61876178] ; 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
Funding OrganizationChinese National Natural Science Foundation ; National Key Research and Development Plan ; JD Grapevine Plan ; Authen Metric RD Funds
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000468525900002
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24231
Collection中国科学院自动化研究所
Corresponding AuthorLei, Zhen
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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