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Anomaly Detection On Aebad V

Metrics

Detection AUROC

Results

Performance results of various models on this benchmark

Model Name	Detection AUROC	Paper Title	Repository
RIAD	56.1	Reconstruction by Inpainting for Visual Anomaly Detection
DRAEM	68.1	DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
ReverseDistillation	71.0	Anomaly Detection via Reverse Distillation from One-Class Embedding
NSA	64.6	Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
InTra	54.1	Inpainting Transformer for Anomaly Detection
PatchCore	70.7	Towards Total Recall in Industrial Anomaly Detection
MMR	78.2	Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction

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