基于深度学习的目标检测技术研究进展  

A Survey on Object Detection Technology Based on Deep Learning

作　　者：吴振刚 许青林[1] 喻梁文[2] WU Zhen-gang;XU Qing-lin;YU Liang-wen(Xianyang Normal University,Xianyang,Shaanxi 712000;National Computer Network Emergency Response Technical Team/Coordination Center of China,Beijing 100029;China National Building Materials Technology Company Limited,Beijing 100048)

机构地区：[1]咸阳师范学院,陕西咸阳712000 [2]国家计算机网络应急技术处理协调中心,北京100029 [3]中建材信息技术股份有限公司,北京100048

出　　处：《新型工业化》2019年第10期1-4,共4页The Journal of New Industrialization

摘　　要：随着深度学习技术的发展,目标检测技术成为了现代计算机视觉系统的重要功能。目标检测技术能够根据样本物体的图像从自然图像中区分和分割相似的物体。本文总结了基于深度学习的目标检测技术及其应用的研究情况,并介绍了目标检测技术的未来研究方向。With the development of deep learning technology,object detection technology has become a vital function of modern computer vision systems.Object detection technology can distinguish and segment similar objects from natural images according to the images of sample objects.This paper summarizes the research situation of object detection technology based on deep learning and its application,and provides the next development direction.

关 键 词：目标检测 人脸识别 显著性检测 深度学习 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP181[自动化与计算机技术—计算机科学与技术]