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 …

Multimodal image fusion combines information from multiple modalities to generate a
composite image containing complementary information. Multimodal image fusion is …

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

Anomaly detection is a crucial task across different domains and data types. However,
existing anomaly detection models are often designed for specific domains and modalities …

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

Abstract Knowledge distillation (KD) has been widely explored in unsupervised anomaly
detection (AD). The student is assumed to constantly produce representations of typical …

Anomaly inspection plays an important role in industrial manufacture. Existing anomaly
inspection methods are limited in their performance due to insufficient anomaly data …

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 …

Recently 3D anomaly detection a crucial problem involving fine-grained geometry
discrimination is getting more attention. However the lack of abundant real 3D anomaly data …