Object detection is a fundamental computer vision task for many real-world applications. In
the maritime environment, this task is challenging due to varying light, view distances …

Autonomous ship technologies have gained considerable interest due to the minimization of
the challenging issues faced by the unpredictable errors of manual navigation, and therefore …

Water surface object detection is one of the most significant tasks in autonomous driving and
water surface vision applications. To date, existing public large-scale datasets collected from …

Availability of domain-specific datasets is an essential problem in object detection. Datasets
of inshore and offshore maritime vessels are no exception, with a limited number of studies …

Inshore ship detection is an important task in several fields, for example, maritime
transportation, maritime supervision, and port management. However, due to the diversified …

Vessel detection studies conducted on inshore and offshore maritime images are scarce,
due to a limited availability of domain-specific datasets. We addressed this need collecting …

In view of the deficiencies in traditional visual water surface object detection, such as the
existence of non-detection zones, failure to acquire global information, and deficiencies in a …

舰船目标的有效识别和监控对维护海洋权益, 保障海上航行安全至关重要. 根据舰船目标信息的
获取形式, 从辐射噪声信号, 雷达回波信号, 卫星遥感图像, 合成孔径雷达图像, 红外图像 …

Unmanned Surface Vehicles (USV) involves vehicle structure, computer science, robotic
vision, automatic control and other areas, so the research on USV is significant in both …

This paper presents a vision-based system for maritime surveillance, using moving PTZ
cameras. The proposed methodology fuses a visual attention method that exploits low-level …