The removal of shadows from images is a classic problem in computer vision, aiming to
restore the lighting in shadowed areas, thereby reducing the information interference and …

This review article comprehensively delves into the rapidly evolving field of domain
adaptation in computer and robotic vision. It offers a detailed technical analysis of the …

The concrete crack images in engineering are usually obscured by unexpected shadow and
their removal is usually required which is always a challenging task due to its complexity …

Foundational vision models, such as the Segment Anything Model (SAM), have achieved
significant breakthroughs through extensive pre-training on large-scale visual datasets …

Shadow detection is a challenging problem in computer vision due to the high variability in
lighting conditions, object shapes, and scene layouts. Despite the positive results achieved …

Removing shadows in images is often a necessary pre-processing task for improving the
performance of computer vision applications. Deep learning shadow removal approaches …

Low-altitude aerial images contain multiple shadowed regions, and a shadowed region
frequently covers several non-homogenous regions of objects and surfaces. Using the …