现代信息科技2024，Vol.8Issue(13)：76-83,8.DOI:10.19850/j.cnki.2096-4706.2024.13.016
基于深度学习的目标检测研究
Research on Object Detection Based on Deep Learning
摘要
Abstract
Object detection is a core issue in the field of Machine Vision.After years of development,object detection methods based on Deep Learning technology have become a research hotspot.According to the principle and process of detection,object detection can be divided into one-stage object detection and two-stage object detection.Firstly,based on extensive literature research,the principles and ideas of mainstream object detection methods are compared.Then,the detection effects of various methods are compared using two parameters,the mAP and the FPS,and the advantages and disadvantages of common object detection methods are analyzed.Finally,predictions and prospects are made for the development of object detection.关键词
目标检测/深度学习/图像处理/卷积神经网络Key words
object detection/Deep Learning/image processing/Convolutional Neural Networks分类
信息技术与安全科学引用本文复制引用
朱克佳..基于深度学习的目标检测研究[J].现代信息科技,2024,8(13):76-83,8.基金项目
广州软件学院自然科学类校级项目(ky202017,ky202108,ky202103,ky202207,ky202306,ky202305,ky202304,ky202303,ky202302,ky202301) （ky202017,ky202108,ky202103,ky202207,ky202306,ky202305,ky202304,ky202303,ky202302,ky202301）
2020广东高校教师特色创新研究项目(2020DZXX07) （2020DZXX07）
