Knowledge Commons of Institute of Automation,CAS
RefineFace: Refinement Neural Network for High Performance Face Detection | |
Zhang, Shifeng1,2; Chi, Cheng2,3; Lei, Zhen1,2; Li, Stan Z.4 | |
发表期刊 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
2020 | |
期号 | 0页码:0 |
摘要 | Face detection has achieved significant progress in recent years. However, high performance face detection still remains a very challenging problem, especially when there exists many tiny faces. In this paper, we present a single-shot refinement face detector namely RefineFace to achieve high performance. Specifically, it consists of five modules: Selective Two-step Regression (STR), Selective Two-step Classification (STC), Scale-aware Margin Loss (SML), Feature Supervision Module (FSM) and Receptive Field Enhancement (RFE). To enhance the regression ability for high location accuracy, STR coarsely adjusts locations and sizes of anchors from high level detection layers to provide better initialization for subsequent regressor. To improve the classification ability for high recall efficiency, STC first filters out most simple negatives from low level detection layers to reduce search space for subsequent classifier, then SML is applied to better distinguish faces from background at various scales and FSM is introduced to let the backbone learn more discriminative features for classification. Besides, RFE is presented to provide more diverse receptive field to better capture faces in some extreme poses. Extensive experiments conducted on WIDER FACE, AFW, PASCAL Face, FDDB, MAFA demonstrate that our method achieves state-of-the-art results and runs at 37.3 FPS with ResNet-18 for VGA-resolution images. |
关键词 | Face detection, refinement network, high performance |
收录类别 | SCI |
语种 | 英语 |
七大方向——子方向分类 | 生物特征识别 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39038 |
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.Institute of Automation Chinese Academy of Sciences 2.Aerospace Information Research Institute, Chinese Academy of Sciences 3.Westlake University 4.University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhang, Shifeng,Chi, Cheng,Lei, Zhen,et al. RefineFace: Refinement Neural Network for High Performance Face Detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2020(0):0. |
APA | Zhang, Shifeng,Chi, Cheng,Lei, Zhen,&Li, Stan Z..(2020).RefineFace: Refinement Neural Network for High Performance Face Detection.IEEE Transactions on Pattern Analysis and Machine Intelligence(0),0. |
MLA | Zhang, Shifeng,et al."RefineFace: Refinement Neural Network for High Performance Face Detection".IEEE Transactions on Pattern Analysis and Machine Intelligence .0(2020):0. |
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