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A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly Detection
In the advancement of industrial informatization, Unsupervised Industrial Anomaly Detection
(UIAD) technology effectively overcomes the scarcity of abnormal samples and significantly …
(UIAD) technology effectively overcomes the scarcity of abnormal samples and significantly …
Uni-3DAD: Gan-inversion aided universal 3D anomaly detection on model-free products
Anomaly detection is a long-standing challenge in manufacturing systems, aiming to locate
surface defects and improve product quality. Traditionally, anomaly detection has relied on …
surface defects and improve product quality. Traditionally, anomaly detection has relied on …
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective
Existing efforts to boost multimodal fusion of 3D anomaly detection (3D-AD) primarily
concentrate on devising more effective multimodal fusion strategies. However, little attention …
concentrate on devising more effective multimodal fusion strategies. However, little attention …
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
Zero-shot (ZS) 3D anomaly detection is a crucial yet unexplored field that addresses
scenarios where target 3D training samples are unavailable due to practical concerns like …
scenarios where target 3D training samples are unavailable due to practical concerns like …