Ship Detection: An Improved YOLOv3 Method

被引：2
|
作者：
Cui, Haiying [1 ]
Yang, Yang [1 ]
Liu, Mingyong [1 ]
Shi, Tingchao [1 ]
Qi, Qian [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Marine Engn, Xian, Peoples R China
来源：
OCEANS 2019 - MARSEILLE | 2019年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/oceanse.2019.8867209
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
YOLOv3 is the state of art detector, which performs an excellent balance in detection speed and accuracy. In this paper, an improved YOLOv3 model named YOLOv3-ship is proposed for the ship detection. The main contributions to the YOLOv3-ship consists of dimension Clusters, network Improvement and embedding of the Squeeze-and-Excitation(SE) module. The experiments results show that the detection accuracy has been significantly improved by the YOLOv3-ship.
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收藏
页数：4
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