Self-Supervised-Anomaly-Detection

Public

Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired during training, where normality and anomaly patterns are built using syntetic data

anomalies anomaly-detection computer-vision deep-learning machine-learning mvtec mvtec-ad python pytorch pytorch-lightning

Creat：2022-11-11T22:36:18

Update：2024-11-11T07:02:31

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