Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

Road surface crack detection methods using vehicle-mounted images have gained
substantial attention recently. Notably, YOLO-based techniques have exhibited effectiveness …

Anomaly detection is an active research field in industrial defect detection and medical
disease detection. However, previous anomaly detection works suffer from unstable training …

Surface defect detection is a key link in the production process of industrial products.
However, it is still challenging to realize automatic detection due to the low contrast between …

In this paper, we construct CAMU-Net, an image forgery detection method, to obtain
evidence of copy-move forgery areas in images. In CAMU-Net, the hierarchical feature …

Surface defect detection is a challenging task in industrial manufacturing, and the detection
method based on deep learning has become the mainstream trend in the industry. However …

In this paper, we address the challenge of background generalization in surface defect
segmentation for surface-mounted device chips, particularly focusing on template-sample …

SiC (silicon carbide), as the most important third-generation semiconductor material, has
huge market prospects in numerous fields, such as 5G base stations and new energy …

Surface defect is an important factor affecting the quality of steel products. The on-line rapid
detection of steel surface defect images has become a hot topic for scholars at home and …

It is difficult for the spectrophotometer to meet the requirement of real-time color defect
detection for flexible packaging prints. The false of shape defect detection is caused by …