卷积神经网络在目标检测中的应用综述

深度学习作为机器学习的一个分支,在各个领域的应用越来越广,已经成为语音识别、自然语言处理、信息检索等方面的一个主要发展方向；其在图像分类、目标检测等方面更是不断取得新的突破。文中首先梳理了卷积神经网络在目标检测中的典型应用；其次,对几种典型卷积神经网络的结构进行了对比,并总结了各自的优缺点；最后,讨论了深度学习现阶段存在的问题以及未来的发展方向。

Overview:Application of Convolution Neural Network in Object Detection

As a branch of machine learning,deep learning has obtained wide application in various fields,and has become a major development direction of speech recognition,natural language processing,information retrieval and other aspects.Especially in image classification and object detection,it has made new breakthroughs.This paper first sorted out the typical applications of convolution neural network in object detection.Secondly,this paper compared several typical convolutional neural network structures,and summed up their advantages and disadvantages.Finally,the existing problems and the future development direction of deep learning were discussed.