舰船检测:一种改进的YOLOv3方法

OCEANS 2019 - Marseille Pub Date : 2019-06-01 DOI:10.1109/OCEANSE.2019.8867209

Haiying Cui, Yang Yang, Mingyong Liu, Tingchao Shi, Qian Qi

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引用次数: 7

摘要

YOLOv3是最先进的探测器，它在检测速度和准确性方面取得了很好的平衡。本文提出了一种改进的YOLOv3模型，命名为YOLOv3-ship。对YOLOv3-ship的主要贡献包括维度集群、网络改进和嵌入挤压与激励(SE)模块。实验结果表明，yolov3舰船的检测精度得到了显著提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ship Detection: An Improved YOLOv3 Method

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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OCEANS 2019 - Marseille

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