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Anomaly Detection On Insplad
Metrics
Detection AUROC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| AttentDifferNet (SENet-AlexNet) | 94.34 | 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 | |
| RD++ (CBAM-ResNet-18) | 90.75 | Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study | |
| RD++ (SENet-ResNet-18) | 90.32 | 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 | - |
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