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TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model

Changyun Wei, Hui Han, Yu Xia, Ze Ji

2024Computers in Industry23 citationsDOI

Topics & Concepts

Anomaly detectionStage (stratigraphy)Anomaly (physics)Artificial intelligenceComputer scienceEngineeringPattern recognition (psychology)Data miningGeologyPhysicsCondensed matter physicsPaleontologyAnomaly Detection Techniques and ApplicationsFault Detection and Control SystemsArtificial Immune Systems Applications
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model | Litcius