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

Detecting surface defects plays a crucial role in ensuring the quality, functionality, and
security of the production process. Traditional image processing techniques and machine …

Automatic micro-defect detection is crucial for promoting efficiency in the production lines of
patterned OLED panels. Recently, deep learning algorithms have emerged as promising …

Ferrite beads' automatic surface inspection is an important means to improve the quality and
ensure proper operation. Although the deep-learning-based defect inspection methods …

Inspecting defects in liquid-crystal display (LCD) manufacturing is of uttermost importance to
ensure customer's satisfaction and reduce time and money losses. Deep learning …

In industrial scenarios, weakly supervised pixel-level defect detection methods leverage
image-level labels for training, significantly reducing the effort required for manual …

Segmenting defects on metal surfaces is crucial for assuring product quality in industrial
manufacturing. Current defect segmentation solutions based on deep learning heavily …

The weakly supervised object localization (WSOL) has always been a very challenging
research subject in the field of computer vision, which aims to predict the localization of …

Surface defect inspection plays a vital role in the industrial production process. Many
detection methods based on deep learning have been gradually applied because of their …

Efficient feature extraction is vital for assessing classification performance in deep learning
(DL) networks. While attention mechanisms enhance feature extraction, their fixed structures …