A Generative Adversarial Network (GAN) can learn the relationship between two image
domains and achieve unpaired image-to-image translation. One of the breakthroughs was …

The lack of large balanced datasets in the agricultural field is a glaring problem for
researchers and developers to design and train optimal deep learning models. This paper …

Railway defects can result in substantial economic and human losses. Among all defects,
surface defects are the most common and prominent type, and various optical-based non …

This paper explores the use of state-of-the-art latent diffusion models, specifically stable
diffusion, to generate synthetic images for improving the robustness of visual defect …

Instance segmentation is a crucial research task in the field of computer vision, providing an
indispensable theoretical foundation for the development of panoramic segmentation …

During the manufacturing process, hot-rolled steel strip surface defects occur frequently.
These defects cause economic losses and risks in the use of these products. Therefore, it is …

This paper takes the broad topic of geometrical surface imperfections on manufactured
surfaces and provides an overview of how they affect component functionality and how they …

Surface defect detection in industrial processes is crucial for ensuring product quality and
reducing material waste. Automated defect identification using deep learning techniques …

As the application of UAVs becomes more and more widespread, accidents such as
accidental injuries to personnel, property damage, and loss and destruction of UAVs due to …

Etruscan mirrors constitute a significant category within Etruscan art and, therefore, undergo
systematic examinations to obtain insights into ancient times. A crucial aspect of their …