The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …

Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

Severe weather and long‐term driving of vehicles lead to various cracks on asphalt
pavement. If these cracks cannot be found and repaired in time, it will have a negative …

Crack is the main manifestation of road damage, and its further deterioration will affect road
traffic. The timely detection of road cracks is of great significance for ensuring road safety. In …

In computer vision, timely and accurate execution of object identification tasks is critical.
However, present road damage detection approaches based on deep learning suffer from …

Pavement crack detection methods based on deep learning and computer vision can greatly
improve detection efficiency and accuracy, but in many cases the data in training set is …

Surface defect detection is an extremely crucial step to ensure the quality of industrial
products. Nowadays, convolutional neural networks (CNNs) based on encoder–decoder …

This article discusses the limitations of single-and two-modal salient object detection (SOD)
methods and the emergence of multi-modal SOD techniques that integrate Visible, Depth, or …

Pavement crack detection continues to be a stubborn problem given the interference of
various factors in the actual pavement and the complex topological structure of asphalt …

Accurate classification of surface defects is one of the most important factors in achieving
quality inspection for strip steel. Most existing methods are based on fully-supervised …