Anomaly Detection On Insplad
Métriques
Detection AUROC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Detection AUROC | Paper Title | Repository |
|---|---|---|---|
| RD++ (CBAM-ResNet-18) | 90.75 | Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study | - |
| AttentDifferNet (SENet-AlexNet) | 94.34 | Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study | - |
| RD++ (ResNet-18) | 90.07 | Revisiting Reverse Distillation for Anomaly Detection | |
| RD++ (SENet-ResNet-18) | 90.32 | Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study | - |
| DifferNet | 92.46 | Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows | - |
0 of 5 row(s) selected.