Underwater target detection plays an important role in ocean exploration, to which the
improvement of relevant technology is of much practical significance. Although existing …

Underwater target detection techniques have been extensively applied to underwater
vehicles for marine surveillance, aquaculture, and rescue applications. However, due to …

Existing underwater image enhancement algorithms rely on paired datasets, which enhance
underwater images by learning the mapping relationship between low-quality and high …

Automatic identification of bearing and rotor defects, when operated at varying speed is
challenging. To make this challenging task possible, a tacho-less deep learning model is …

Accurate and efficient treatment of domestic waste is an important part of urban
management. Whether domestic waste can be classified effectively will affect the …

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 …

For the routine target detection algorithm in the underwater complex environment to obtain
the image of the existence of blurred images, complex background and other phenomena …

Intelligent detection of marine organism plays an important part in the marine economy, and
it is significant to detect marine organisms quickly and accurately in a complex marine …

Object detectors based on convolutional neural networks (CNNs) have been widely
deployed in industrial production for safety detection to guarantee the security of workers …

Target detection research has always been difficult when it comes to small target detection
in underwater situations. To address the issues of a high miss detection rate and poor …