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 …

Steel surface defect recognition is an important part of industrial product surface defect
detection, which has attracted more and more attention in recent years. In the development …

Metal surface defect segmentation can play an important role in dealing with the issue of
quality control during the production and manufacturing stages. There are still two major …

RGB salient object detection (SOD) has made great progress. However, the performance of
this single-modal salient object detection will be significantly decreased when encountering …

Surface defect detection plays an essential role in industry, and it is challenging due to the
following problems: 1) the similarity between defect and nondefect texture is very high …

Recently, more and more researchers have paid attention to the surface defect detection of
strip steel. However, the performance of existing methods usually fails to detect the defect …

Salient object detection (SOD) of images refers to simulating the attention mechanism of
human vision to capture the most attractive objects in an image. Current SOD mainly relies …

Rail surface defect inspection based on machine vision faces challenges against the
complex background with interference and severe data imbalance. To meet these …

Pavement distress detection is of great significance for road maintenance and to ensure
road safety. At present, detection methods based on deep learning have achieved …

The computer-vision-based surface defect detection of metal planar materials is a research
hotspot in the field of metallurgical industry. The high standard of planar surface quality in …