Anomaly Detection on MVTec AD 2019 (test)
97.7Image-level AUCCoarse-to-Fine Non-Contrastive Learning
Evaluation Results
| Method | Links | |
|---|---|---|
| Coarse-to-Fine Non-Contrastive LearningBackbone=Wide-ResNet50x22021.10 | 97.7 | |
| Coarse-to-Fine Non-Contrastive LearningBackbone=ResNet-182021.10 | 97.3 | |
| PaDiMBackbone=Wide-ResNet50x22021.10 | 95.3 | |
| Cut PasteBackbone=Wide-ResNet50x22021.10 | 95.2 | |
| U-SBackbone=ResNet-182021.10 | 92.5 | |
| P-SVDDBackbone=ResNet-182021.10 | 92.1 | |
| DOCCBackbone=Wide-ResNet50x22021.10 | 87.9 | |
| SPADEBackbone=Wide-ResNet50x22021.10 | 85.5 |