Monitoring and understanding the behavior of fishing vessels are important in facilitating
effective management, preventing illegal fishing, informing fishing grounds and evaluating …

Accurate identification of ship targets is the key technology of intelligent inland waterway
navigation. Given the complicated navigation environment of inland waterway ships and …

In addressing the challenge of ships being prone to occlusion in multi‐target situations
during ship target detection, leading to missed and false detections, this paper proposes an …

Ship detection plays a crucial role in ensuring maritime transportation and navigation safety.
However, accurately detecting multiscale ships remains a challenge due to the diversity of …

Traditional target detection algorithms based on deep learning require a large number of
ship sample data sets to be trained to achieve better detection performance. However …

In recent years, with the rapid development of the marine economy, maritime transportation
industry has also steadily strengthened, leading to an increasing number of ships at sea …

This article proposes an improved ship target detection network, CA-YOLO v3 Network,
which is based on the YOLO v3 algorithm. The aim is to address the challenge of identifying …

Accurate ship object detection ensures navigation safety and effective maritime traffic
management. Existing ship target detection models often have the problem of missed …

With the development of machine vision, deep learning-based target detection methods are
crucial in maritime ship detection. Although some recognition methods, such as YOLO (you …

Object detection and ship classification using YOLOv5 Page 1 BOHR International Journal of
Smart Computing and Information Technology 2023, Vol. 4, No. 1, pp. 7–16 DOI …