Different types of surface defects will occur during the production of strip steel. To ensure
production quality, it is essential to classify these defects. Our research indicates that two …

In a complex industrial environment, it is difficult to obtain hot rolled strip steel surface defect
images. Moreover, there is a lack of effective identification methods. In response to this, this …

Due to the shortage of defect samples and the high cost of labelling during the process of
hot-rolled strip production in the metallurgical industry, it is difficult to obtain a large quantity …

The automatic classification of surface defects is significant to the steel strip inspection
system. However, influenced by the lack of samples, it is difficult to improve the classification …

The classification of steel surface defects plays a very important role in analyzing their
causes to improve manufacturing process and eliminate defects. However, defective …

The detection of surface defects in hot-rolled strip steel is an important step in the production
process of hot-rolled strip steel, and it is closely related to the final quality. At present, many …

Aiming at the problems of low-resolution steel surface defects imaging, such as defect type
confusion, feature blurring, and low classification accuracy, this paper proposes an …

Hot-rolled strip steel is widely used in automotive manufacturing, chemical and home
appliance industries, and its surface quality has a great impact on the quality of the final …

To address the problem of image imbalance in the surface inspection of strip steel, this study
proposes a novel anomaly detection method based on multi-scale knowledge distillation …

The surface defects' region of strip steel is small, and has various defect types and, complex
gray structures. There tend to be a large number of false defects and edge light interference …