The recent rapid development of deep learning has laid a milestone in industrial image
anomaly detection (IAD). In this paper, we provide a comprehensive review of deep learning …

Multi-scale defect detection on bearing surfaces is a challenging task due to the varying
sizes and shapes of the defects and character-induced noise backgrounds. It has been …

The photovoltaic hotspot defect detection is challenging due to the features vanishing as the
network deepens and the poor feature discrimination ability under complex background …

Visual sensory anomaly detection (AD) is an essential problem in computer vision, which is
gaining momentum recently thanks to the development of AI for good. Compared with …

To prevent potential instability the early detection of cracks is imperative due to the prevalent
use of concrete in critical infrastructure. Automated techniques leveraging artificial …

Visual inspection is an important process for maintaining bridges in road transportation
systems, and preventing catastrophic events and tragedies. In this process, accurate and …

Visual inspection of concrete structures using Unmanned Areal Vehicle (UAV) imagery is a
challenging task due to the variability of defects' size and appearance. This paper proposes …

Surface defect detection (SDD) is essential in industry to ensure the quality of products. Fine-
grained SDD has been developed to cope with the high intraclass and low interclass …

Within (semi-) automated visual industrial inspection, learning-based approaches for
assessing visual defects, including deep neural networks, enable the processing of …

In the era of global climate change and rising temperatures, it is more important than ever to
develop accurate methodologies for forecasting cyclonic storms. In this article, we design a …