In the realm of underwater object detection, conventional methodologies often encounter
challenges in accurately identifying and detecting small targets. These difficulties stem …

The objective of this article is to provide a detailed review of the state-of-the-art underwater
surveillance process and the new trends of the same. Underwater surveillance has recently …

Underwater object tracking and recognition are challenging due to the distinctive
characteristics of underwater environments. The water medium exhibits diffraction and …

Complicated underwater environments, such as occlusion by foreign objects and dim light,
cause serious loss of underwater object features. This certainly increases the challenge of …

In response to the problem of the high cost and low efficiency of traditional water surface
litter cleanup through manpower, a lightweight water surface litter detection algorithm based …

At present, underwater terrain images are all strip-shaped small fragment images
preprocessed by the side-scan sonar imaging system. However, the processed underwater …

In the complex marine environment, target recognition is difficult, and the real-time detection
has a slow speed. In this article, a target recognition method combining underwater …

The underwater ecosystems exhibit unique challenges for recognizing underwater objects
beneath the water. When light penetrates far into the water, it experiences diffraction and …

This research presents an innovative application of the YOLOv4 object detection model for
the identification and classification of marine objects within a dataset encompassing seven …

This article explores a novel approach for underwater object detection by combining the
YOLOv8 (You Only Look Once version 8) model with the enhanced security of blockchain …