Knowledge Commons of Institute of Automation,CAS
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 | |
发表期刊 | INTERNATIONAL JOURNAL OF COMPUTER VISION |
ISSN | 0920-5691 |
2019-06-01 | |
卷号 | 127期号:6-7页码:537-559 |
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. |
关键词 | Face detection Single-shot Scale-aware Class imbalance |
DOI | 10.1007/s11263-019-01159-3 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Authen Metric RD Funds ; JD Grapevine Plan ; Chinese National Natural Science Foundation[61806196] ; Chinese National Natural Science Foundation[61473291] ; Chinese National Natural Science Foundation[61876178] ; National Key Research and Development Plan[2016YFC0801002] ; National Key Research and Development Plan[2016YFC0801002] ; Chinese National Natural Science Foundation[61876178] ; Chinese National Natural Science Foundation[61473291] ; Chinese National Natural Science Foundation[61806196] ; JD Grapevine Plan ; Authen Metric RD Funds |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000468525900002 |
出版者 | SPRINGER |
七大方向——子方向分类 | 图像视频处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/24231 |
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 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 |
第一作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
通讯作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
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. |
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