Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

This article investigates the problem of enhancing underwater visual observations for the
purpose of accurate underwater object detection. Most existing underwater visual …

Images captured from different viewpoints or devices have often exhibited significant
geometric and photometric differences due to factors such as environmental variations …

Due to the scattering and attenuation of light into the water, the underwater image usually
appears with color distortion, blurred details, and low contrast. To address these problems, a …

Underwater robots play an important role in oceanic geological exploration, resource
exploitation, ecological research, and other fields. However, the visual perception of …

Underwater (UW) depth estimation and image restoration is a challenging task due to its
fundamental ill-posedness and the unavailability of real large-scale UW-paired datasets …

In this paper, we present a fast monocular depth estimation method for enabling 3D
perception capabilities of low-cost underwater robots. We formulate a novel end-to-end …

Underwater image enhancement (UIE) is an essential task for intelligent environment
perception in underwater remote visual sensing scenarios. However, the computing power …

Background Learning-based methods have achieved remarkable performances on depth
estimation. However, the premise of most self-learning and unsupervised learning methods …

Exploiting stronger winds at offshore farms leads to a cyclical need for maintenance due to
the harsh maritime conditions. While autonomous vehicles are the prone solution for O&M …