In electronics manufacturing, surface defect detection is very important for product quality
control, and defective products can cause severe customer complaints. At the same time, in …

To address the different forms and sizes of bearing collar surface defects, uneven
distribution of defect positions, and complex backgrounds, we propose ESD-YOLOv5, an …

Industrial inspection is crucial for maintaining quality and safety in industrial processes.
Deep learning models have recently demonstrated promising results in such tasks. This …

Industrial defect detection has great significance in product quality improvement, and deep
learning methods are now the dominant approach. However, the volume of industrial …

For years, the YOLO series has been the de facto industry-level standard for efficient object
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …

Unlike objects (such as cats and dogs) in the ImageNet, the surface defects on chips have a
relatively tiny defect areas, yet they contain a large amount of information. The traditional …

Many problems associated with the visual inspection of surface defects on aluminum strips
remain to be solved, including the inapplicability of large-scale algorithm and computing …

Bamboo surface defect detection provides quality assurance for bamboo product
manufacture in industrial scenarios, an integral part of the overall manufacturing process …

Early and effective surface defect detection in industrial components can avoid the
occurrence of serious safety hazards. Since most industrial component surfaces have tiny …

The YOLOv5 network architecture prioritizes speed and efficiency, but this may limit its ability
to capture intricate details of complex objects. To solve the problems of insufficient feature …