Anomaly Detection On Mvtec Ad Textures
Metrics
Detection AUROC
Results
Performance results of various models on this benchmark
Model Name | Detection AUROC | Paper Title | Repository |
|---|---|---|---|
| Mixed-Teacher | 99.8 | MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection | - |
| Reverse Distillation ++ | 99.8 | Revisiting Reverse Distillation for Anomaly Detection | |
| CSE | 99.8 | CSE: Surface Anomaly Detection with Contrastively Selected Embedding | - |
| DualModel | 99.94 | Exploring Dual Model Knowledge Distillation for Anomaly Detection | - |
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