Anomaly Detection on SDD
0.996AUCDPDL
Evaluation results
| Method | Links | |
|---|---|---|
| DPDLNumber of training anomaly examples=102025.02 | 0.996 | |
| DRAC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.991 | |
| DRAtraining_anomaly_examples=10, anomaly_classes=12022.03 | 0.991 | |
| DRANumber of training anomaly examples=102025.02 | 0.991 | |
| AHLNumber of training anomaly examples=102025.02 | 0.991 | |
| DevNettraining_anomaly_examples=10, anomaly_classes=12022.03 | 0.988 | |
| DevNetNumber of training anomaly examples=102025.02 | 0.988 | |
| MLEPtraining_anomaly_examples=10, anomaly_classes=12022.03 | 0.983 | |
| MLEPNumber of training anomaly examples=102025.02 | 0.983 | |
| InCTRLSetup=8-shot2024.03 | 0.978 | |
| InCTRLSetup=4-shot2024.03 | 0.975 | |
| InCTRLSetup=2-shot2024.03 | 0.972 | |
| FLOStraining_anomaly_examples=10, anomaly_classes=12022.03 | 0.967 | |
| FLOSNumber of training anomaly examples=102025.02 | 0.967 | |
| DeepSADC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.963 | |
| MINNSC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.961 | |
| SAOEtraining_anomaly_examples=10, anomaly_classes=12022.03 | 0.955 | |
| SAOENumber of training anomaly examples=102025.02 | 0.955 | |
| WinCLIPSetup=0-shot2024.03 | 0.946 | |
| WinCLIPSetup=4-shot2024.03 | 0.943 | |
| WinCLIPSetup=2-shot2024.03 | 0.942 | |
| WinCLIPSetup=8-shot2024.03 | 0.941 | |
| PatchCoreSetup=8-shot2024.03 | 0.925 | |
| PatchCoreSetup=4-shot2024.03 | 0.923 | |
| DPDLNumber of training anomaly examples=12025.02 | 0.917 | |
| AHLNumber of training anomaly examples=12025.02 | 0.909 | |
| PatchCoreSetup=2-shot2024.03 | 0.902 | |
| CoOpSetup=4-shot2024.03 | 0.902 | |
| CoOpSetup=8-shot2024.03 | 0.898 | |
| CoOpSetup=2-shot2024.03 | 0.897 | |
| KDADtraining_anomaly_examples=Unsupervised, anomaly_classes=12022.03 | 0.888 | |
| DevNettraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.881 | |
| DevNetNumber of training anomaly examples=12025.02 | 0.881 | |
| KAnoCLIPBackbone=ViT-L/14@336px, Setting=Zero-shot2025.01 | 0.862 | |
| DRAtraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.859 | |
| DRANumber of training anomaly examples=12025.02 | 0.859 | |
| AnomalyCLIPVenue=ICLR 2024, Setting=Zero-shot2025.01 | 0.847 | |
| WinCLIPVenue=CVPR 2023, Setting=Zero-shot2025.01 | 0.843 | |
| FLOStraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.84 | |
| FLOSNumber of training anomaly examples=12025.02 | 0.84 | |
| MVFA-ADVenue=CVPR 2024, Setting=Zero-shot2025.01 | 0.825 | |
| MLEPtraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.811 | |
| MLEPNumber of training anomaly examples=12025.02 | 0.811 | |
| April-GANVenue=CVPR 2023, Setting=Zero-shot2025.01 | 0.798 | |
| SAOEtraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.781 | |
| SAOENumber of training anomaly examples=12025.02 | 0.781 | |
| PaDiMSetup=8-shot2024.03 | 0.769 | |
| PaDiMSetup=4-shot2024.03 | 0.742 | |
| SPADESetup=8-shot2024.03 | 0.741 | |
| SPADESetup=4-shot2024.03 | 0.731 | |
| SPADESetup=2-shot2024.03 | 0.729 | |
| PaDiMSetup=2-shot2024.03 | 0.721 | |
| CLIPVenue=ICML 2021, Setting=Zero-shot2025.01 | 0.657 | |
| CLIP-ACVenue=IMCL 2021, Setting=Zero-shot2025.01 | 0.652 | |
| RegADSetup=8-shot2024.03 | 0.594 | |
| RegADSetup=4-shot2024.03 | 0.525 | |
| RegADSetup=2-shot2024.03 | 0.499 |