SE-IYOLOV3: An Accurate Small Scale Face Detector for Outdoor Security
SE-IYOLOV3: An Accurate Small Scale Face Detector for Outdoor Security
复制标题
SE-IYOLOV3：用于户外安全的精确小型人脸检测器
DOI：
10.3390/math8010093
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发表时间：
2020-01-01
期刊：
影响因子：
2.4
通讯作者：
Luo, Xiaonan
中科院分区：
文献类型：
--
作者：
Deng, Zhenrong;Yang, Rui;Luo, Xiaonan
小尺度人脸检测是一个非常困难的问题。为了实现更高的检测精度，我们在这项工作中提出了一种针对小尺度人脸的新方法，称为 SE-IYOLOV3。在SE-IYOLOV3中，我们首先对YOLOV3进行了改进，在k-means算法的基础上结合小生境技术得到了平均相交比更高的锚定框。添加上采样尺度，形成适合检测密集小尺度人脸的人脸网络结构。预测框的数量是YOLOV3网络的五倍。为了进一步提高检测性能，我们采用SENet结构来增强网络的全局感受野。在WIDERFACE数据集上的实验结果表明，嵌入SENet结构的IYOLOV3网络可以显着提高密集小尺度人脸的检测精度。
Small scale face detection is a very difficult problem. In order to achieve a higher detection accuracy, we propose a novel method, termed SE-IYOLOV3, for small scale face in this work. In SE-IYOLOV3, we improve the YOLOV3 first, in which the anchorage box with a higher average intersection ratio is obtained by combining niche technology on the basis of the k-means algorithm. An upsampling scale is added to form a face network structure that is suitable for detecting dense small scale faces. The number of prediction boxes is five times more than the YOLOV3 network. To further improve the detection performance, we adopt the SENet structure to enhance the global receptive field of the network. The experimental results on the WIDERFACEdataset show that the IYOLOV3 network embedded in the SENet structure can significantly improve the detection accuracy of dense small scale faces.