Accurate pavement crack segmentation is crucial for civil engineering and infrastructure
maintenance. To address the challenge of imbalanced data resulting from the prevalence of …

Computer vision-based semantic segmentation methods are currently the most widely used
for automated detection of structural cracks in buildings and pavements. However, these …

Automated pavement crack sealing plays a crucial role in road maintenance. However,
challenges remain in refining crack segmentation and sealing control accuracy. This article …

Detecting pavement cracks is a complex task in pavement maintenance. Convolutional
neural network (CNN)-based approaches have been increasingly used for this purpose in …

Pavement crack detection poses a formidable challenge due to the intricate texture
structures of cracks and the complex environmental settings in which they are situated. In …

Cracks are a typical form of road damage, and accurate detection of cracks is of great
significance for road maintenance work and ensuring traffic safety. Recently, computer …

Precise identification of ground fissures is of paramount importance for the safety and
environmental management of coal mining areas. However, the surface environment in coal …

Vehicle and drone-mounted surveillance equipment face severe computational constraints,
posing significant challenges for real-time, accurate crack segmentation. This paper …

Unsupervised visual anomaly localization research has garnered significant attention in
industrial component surface quality inspection tasks, particularly in realistic scenarios …

Cracks are a prevalent disease on pavement concrete materials. Timely assessment and
repair of concrete materials can significantly extend their service life. However, accurate …