深度学习目标检测方法研究综述

A Survey of Research on Deep Learning Target Detection Methods

为了更准确的对图像中的目标物体进行识别,科学家研发了目标检测技术,其是计算机视觉的重要组成。最近几年深度学习越来越普及,基于深度学习的目标检测技术具有更高的准确率和检测效率,可以应用在很多领域,然而应用过程中还存在一些影响深度学习目标检测的发展的问题急需解决,基于此,本文对目标检测概念进行了简单介绍,并对深度学习目标检测算法进行了归纳总结,对深度学习目标检测中存在的问题和未来发展进行了探究,希望可以为目标检测实现更好发展提供助力。

In order to more accurately identify target objects in images,scientists have developed target detection technology,which is an important component of computer vision.In recent years,deep learning has become more and more popular.The target detection technology based on deep learning has higher accuracy and detection efficiency,and can be applied in many fields.However,there are still some problems that affect the development of deep learning target detection in the application process.Based on this,this article briefly introduces the concept of target detection,summarizes the deep learning target detection algorithm,and explores the problems and future development of deep learning target detection,hoping to achieve better target detection Good development provides assistance.