科技创新与应用2025，Vol.15Issue(8)：21-26,6.DOI:10.19981/j.CN23-1581/G3.2025.08.005
基于深度学习的目标检测与应用
侯小燕1
作者信息
- 1. 上海卓昕医疗科技有限公司图像算法部,上海 201600
- 折叠
摘要
Abstract
Object detection for image or video is one of the most basic and important tasks in the field of computer vision.With the development of artificial intelligence and computer vision technology,object detection technology based on deep learning has developed rapidly,and has become the mainstream method in the field of visual object detection.This paper reviews some technical achievements of object detection based on deep learning in recent years.The methods to improve the performance of object detection is summarized,and different applications of object detection in various fields are investigated.At the same time,some problems existing in current object detection and corresponding solutions are proposed.Finally,the development direction of object detection is discussed according to the existing challenges.关键词
深度学习/目标检测/应用/视觉领域/神经网络Key words
deep learning/object detection/application/vision domain/neural network分类
计算机与自动化引用本文复制引用
侯小燕..基于深度学习的目标检测与应用[J].科技创新与应用,2025,15(8):21-26,6.
