To date, general-purpose object-detection methods have achieved a great deal. However,
challenges such as degraded image quality, complex backgrounds, and the detection of …

Object detection, a crucial aspect of computer vision, has seen significant advancements in
accuracy and robustness. Despite these advancements, practical applications still face …

Abstract Marine Object Detection, leveraging computer vision, plays a vital role in detecting
objects in marine environments ranging from marine organisms to marine surveillance …

This paper aims to comprehensively discuss the latest research developments in the field of
underwater structural defect detection and health assessment. The underwater robots can …

Detecting and monitoring underwater organisms is very important for sea aquaculture. The
human eye struggles to quickly distinguish between aquatic species due to their variety and …

Despite advancements in underwater object detection (UOD) from optical underwater
images in recent years, the task still poses significant challenges due to the chaotic …

Machine learning is an essential discipline in artificial intelligence & image processing
because it affects item/object or asset recognition or identification processes. It employs …

Advances in underwater recording and processing systems have highlighted the need for
automated methods dedicated to the accurate detection and tracking of small underwater …

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

In this paper, we present a novel Amplitude-Modulated Stochastic Perturbation and Vortex
Convolutional Network, AMSP-UOD, designed for underwater object detection. AMSP-UOD …