Ship Detection: An Improved YOLOv3 Method

被引：3

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.

引用

页数：4

共 8 条

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