Object anomaly detection is an important problem in the field of machine vision and has
seen remarkable progress recently. However, two significant challenges hinder its research …

High-precision point cloud anomaly detection is the gold standard for identifying the defects
of advancing machining and precision manufacturing. Despite some methodological …

Modeling the distribution of descriptors obtained by pretrained feature extractors is a popular
approach for unsupervised visual anomaly detection. While recent work primarily focuses on …

Reconstruction-based approaches have achieved remarkable outcomes in anomaly
detection. The exceptional image reconstruction capabilities of recently popular diffusion …

Industrial anomaly detection (IAD) has garnered significant attention and experienced rapid
development. However the recent development of IAD approach has encountered certain …

Visual Anomaly Detection (VAD) endeavors to pinpoint deviations from the concept of
normality in visual data, widely applied across diverse domains, eg, industrial defect …

3D anomaly detection is an emerging and vital computer vision task in industrial
manufacturing (IM). Recently many advanced algorithms have been published, but most of …

This work studies the recently proposed challenging and practical Multi-class Unsupervised
Anomaly Detection (MUAD) task, which only requires normal images for training while …

This paper considers zero-shot Anomaly Detection (AD), a valuable yet under-studied task,
which performs AD without any reference images of the test objects. Specifically, we employ …

Recent advancements have shown the potential of leveraging both point clouds and images
to localize anomalies. Nevertheless their applicability in industrial manufacturing is often …