基于深度学习的水面无人清理船目标检测综述

A Review of Target Detection for Unmanned Surface Cleaning Ships Based on Deep Learning

水面目标识别对水资源环境具有重要意义。综合当前基于深度学习的目标检测方法的发展历程以及在水面中的应用情况,对水面目标检测数据集及检测方法进行了研究。首先介绍了目标检测网络的发展历程。接着,对当前常用目标检测方法进行总结,阐述水面常用的公开数据集及水面目标检测算法的实际应用。最后,对基于深度学习的水面目标检测提出今后的研究方向。

Water surface target recognition is of great significance to water resource environment.Based on the development history of deep learning-based target detection and its application in water surface,the data set and detection method of water surface target detection are studied.Firstly,the development of target detection network is introduced.Then,the current common target detection methods are summarized,and the common open data sets and the practical application of surface target detection algorithms are expounded.Finally,the future research direction of surface target detection based on deep learning is proposed.