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 …

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

We present a novel framework, ie, Segment Any Anomaly+(SAA+), for zero-shot anomaly
segmentation with hybrid prompt regularization to improve the adaptability of modern …

Anomaly detection has recently gained increasing attention in the field of computer vision,
likely due to its broad set of applications ranging from product fault detection on industrial …

The coexistence of subtle and long-range anomalies in real-world industrial applications
brings significant challenges for anomaly localization. Existing methods typically train deep …

In recent years, unsupervised anomaly detection based on knowledge distillation has
gained special attention and some promising results have been reported in the literature …

Organ segmentation in abdominal or thoracic computed tomography (CT) images plays a
crucial role in medical diagnosis as it enables doctors to locate and evaluate organ …

In the context of industrial product quality control, visual defect detection plays a crucial role,
emphasizing the importance of developing a high-performing defect detection model. Thus …

The imperative to preserve environmental resources has transcended traditional
conservation efforts, becoming a crucial element for sustaining life. Our deep …

In a world increasingly driven by digital transformation, emerging technologies such as
blockchain, artificial intelligence, and the metaverse hold great promise for economic and …