计算机科学 ›› 2020, Vol. 47 ›› Issue (6): 126-132.doi: 10.11896/jsjkx.19050002
杨少鹏1, 刘宏哲1, 王雪峤2
YANG Shao-peng1, LIU Hong-zhe1, WANG Xue-qiao2
摘要： 人脸检测是指从输入图片或视频中找到人脸的精确位置并确定其大小。为了应对尺度多样性特别是小尺寸人脸给人脸检测任务带来的困难,文中提出一种新的基于特征图融合的小尺寸人脸检测方法。首先,合理地选择待检测特征图,使用不同的特征图检测不同大小的人脸。然后,通过将较深的特征图和较浅的特征图进行融合,合理地引入上下文信息,从而提高小尺寸人脸的检测精度。在NVIDIA GTX TATAN X上,使用WIDERFACE数据集对所提方法进行训练和测试,其在WIDERFACE 3个测试子集上的测试结果分别为88.9%(hard),93.5%(medium),94.3%(easy)AP,检测速度为39 fps,其检测精度和检测速度均优于其他优秀的检测方法。
中图分类号:
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