A Ship Detection Model Based on Dynamic Convolution and an Adaptive Fusion Network for Complex Maritime Conditions

A Ship Detection Model Based on Dynamic Convolution and an Adaptive Fusion Network for Complex Maritime Conditions

Ship detection is vital for maritime safety and vessel monitoring, but challenges like false and missed detections persist, particularly in complex backgrounds, multiple scales, and adverse weather conditions. This paper presents YOLO-Vessel, a ship detection model built upon YOLOv7, which incorpora...

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Bibliographic Details
Main Authors: Zhisheng Li, Zhihui Deng, Kun Hao, Xiaofang Zhao, Zhigang Jin
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
adaptive ship detection
deep learning
YOLOv7
dynamic convolution
data augmentation
Online Access:https://www.mdpi.com/1424-8220/24/3/859

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