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Detecting Face with Densely Connected Face Proposal Network

文献类型：期刊论文

作者Zhang, Shifeng1,2,3; Zhu, Xiangyu1,2,3; Lei, Zhen1,2,3; Wang, Xiaobo1,2,3; Shi, Hailin1,2,3; Li, Stan Z.1,2,3
刊名NEUROCOMPUTING
出版日期2018-04-05
卷号284页码:119-127
关键词Face Detection Small Face Region Proposal Network
DOI10.1016/j.neucom.2018.01.012
文献子类Article
英文摘要Accuracy and efficiency are two conflicting challenges for face detection, since effective models tend to be computationally prohibitive. To address these two conflicting challenges, our core idea is to shrink the input image and focus on detecting small faces. Reducing the image resolution can significantly improve the detection speed, but it also results in smaller faces that need to pay more attention. Specifically, we propose a novel face detector, dubbed the name Densely Connected Face Proposal Network (DCFPN), with high accuracy as well as CPU real-time speed. Firstly, we subtly design a lightweight-but-powerful fully convolution network with the consideration of efficiency and accuracy. Secondly, we present a dense anchor strategy and a scale-aware anchor matching scheme to improve the recall rate of small faces. Finally, a fair L1 loss is introduced to locate small faces well. As a consequence, our proposed method can detect faces at 30 FPS on a single 2.60 GHz CPU core and 250 FPS using a GPU for the VGA-resolution images. We achieve state-of-the-art performance on the common face detection benchmark datasets. (C) 2018 Elsevier B.V. All rights reserved.
WOS关键词WILD
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000425883300013
资助机构National Key Research and Development Plan(2016YFC0801002) ; Chinese National Natural Science Foundation(61473291 ; AuthenMetric RD Funds ; 61572501 ; 61502491 ; 61572536)
源URL[http://ir.ia.ac.cn/handle/173211/21950]  
专题自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心
作者单位1.Chinese Acad Sci, CBSR, Inst Automat, Beijing, Peoples R China
2.Chinese Acad Sci, NLPR, Inst Automat, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Shifeng,Zhu, Xiangyu,Lei, Zhen,et al. Detecting Face with Densely Connected Face Proposal Network[J]. NEUROCOMPUTING,2018,284:119-127.
APA Zhang, Shifeng,Zhu, Xiangyu,Lei, Zhen,Wang, Xiaobo,Shi, Hailin,&Li, Stan Z..(2018).Detecting Face with Densely Connected Face Proposal Network.NEUROCOMPUTING,284,119-127.
MLA Zhang, Shifeng,et al."Detecting Face with Densely Connected Face Proposal Network".NEUROCOMPUTING 284(2018):119-127.

入库方式： OAI收割

来源：自动化研究所

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