During the past few decades, the need to intervene in underwater scenarios has grown due
to the increasing necessity to perform tasks like underwater infrastructure inspection and …

Image-based gradation detection methods of rockfill materials mostly ignore occluded
regions of particles, and for the mainstream methods with deep learning, dataset annotation …

This survey provides a comprehensive review of underwater cable detection and tracking
literature, identifying key problem types and highlighting unique underwater challenges. It …

Underwater cables or pipelines are commonly utilized elements in ocean research, marine
engineering, power transmission, and communication-based activities. Their performance …

Underwater photogrammetry can efficiently document complex environments with limited
accessibility. As the establishment of reference control networks is involved, using the …

Aiming at the problem of wind turbine generator fault early warning, a wind turbine fault early
warning method based on nonlinear decreasing inertia weight and exponential change …

Nowadays, more frequently, it is necessary to perform underwater operations such as
surveying an area or inspecting and intervening on industrial infrastructures such as …

Utilising deep learning image classification to automatically annotate subsea pipeline video
surveys can facilitate the tedious and labour-intensive process, resulting in significant time …

There has been much recent interest in deep learning methods for monocular image based
object pose estimation. While object pose estimation is an important problem for …

In this letter, we introduce a rotational primitive prediction based 6D object pose estimation
using a single image as an input. We solve for the 6D object pose of a known object relative …