Anomaly Detection on MVTec LOCO
96.2I-AUROC (Structural)LogiCo+
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| LogiCo+Fine-grained Segmentation=true2026.06 | 96.2 | 97.1 | 96.7 | — | — | — | — | |
| LogiCoTraining Time (h)=1.0, Images/s=17.42026.06 | 96.03 | 96.53 | — | — | — | — | — | |
| LogiCoFine-grained Segmentation=false2026.06 | 96 | 96.5 | 96.3 | — | — | — | — | |
| EfficientAD2025.03 | 94.7 | 86.8 | 90.7 | — | — | — | — | |
| EfficientADFine-grained Segmentation=false2026.06 | 94.7 | 86.8 | 90.7 | — | — | — | — | |
| SALADFine-grained Segmentation=false2026.06 | 94.7 | 91.7 | 93.2 | — | — | — | — | |
| SALADTraining Time (h)=1.7, Images/s=37.62026.06 | 94.69 | 91.73 | — | — | — | — | — | |
| AnomalyMoETraining Time (h)=18.0, Images/s=15.22026.06 | 93.57 | 82.79 | — | — | — | — | — | |
| LogSAD2025.03 | 93.1 | 89.3 | 91.2 | — | — | — | — | |
| CSADFine-grained Segmentation=true2026.06 | 93.1 | 92.6 | 92.9 | — | — | — | — | |
| DinomalyTraining Time (h)=0.7, Images/s=30.22026.06 | 93.04 | 73.71 | — | — | — | — | — | |
| PSADutilizes additional segment annotations=true2025.03 | 91.6 | 98.1 | 94.9 | — | — | — | — | |
| LogSADFine-grained Segmentation=true2026.06 | 91.6 | 89.3 | 90.4 | — | — | — | — | |
| LogSADTraining Time (h)=0.2, Images/s=0.32026.06 | 91.58 | 89.29 | — | — | — | — | — | |
| PSADFine-grained Segmentation=true2026.06 | 91.3 | 97.7 | 94.5 | — | — | — | — | |
| ReContrast2023.06 | 90.7 | 73.4 | 82.1 | — | — | — | — | |
| DSR2025.03 | 90.2 | 75 | 82.6 | — | — | — | — | |
| RD4AD2023.06 | 88 | 69.4 | 78.7 | — | — | — | — | |
| SAM-LADFine-grained Segmentation=true2026.06 | 85.5 | 95.8 | 90.7 | — | — | — | — | |
| TFA-Net2026.03 | 85.4 | 77.7 | 81.6 | — | — | — | — | |
| SimpleNet2025.03 | 83.7 | 71.5 | 77.6 | — | — | — | — | |
| GLCFFine-grained Segmentation=false2026.06 | 83.2 | 72.9 | 78.1 | — | — | — | — | |
| PatchCore2023.06 | 82 | 69 | 75.5 | — | — | — | — | |
| PatchCore2026.03 | 82 | 69 | 75.5 | — | — | — | — | |
| GCAD2023.06 | 80.6 | 86 | 83.3 | — | — | — | — | |
| GCAD2026.03 | 80.6 | 86 | 83.3 | — | — | — | — | |
| GCADFine-grained Segmentation=false2026.06 | 80.6 | 86 | 83.3 | — | — | — | — | |
| STPM2026.03 | 76.3 | 59.7 | 68 | — | — | — | — | |
| DRAEM2023.06 | 74.4 | 72.8 | 73.6 | — | — | — | — | |
| Draem2026.03 | 74.4 | 72.8 | 73.6 | — | — | — | — | |
| FastFlow2026.03 | 71.2 | 72.7 | 72 | — | — | — | — | |
| PaDiM2023.06 | 70.5 | 63.7 | 67.1 | — | — | — | — | |
| PaDIM2026.03 | 70.5 | 63.7 | 67.1 | — | — | — | — | |
| MNAD2026.03 | 70.2 | 60 | 65.1 | — | — | — | — | |
| SPADE2026.03 | 66.8 | 70.9 | 68.9 | — | — | — | — | |
| f-AnoGAN2026.03 | 62.7 | 65.9 | 64.3 | — | — | — | — | |
| AERequires Training=No, Network=CNN, Structural Capability=Yes, Logical Capability=No, FLOPs (Gb)=5.0, FPS=251.12024.06 | — | — | — | — | 57.4 | — | — | |
| AnomalyGPT2026.06 | — | — | — | — | — | 60.4 | 70.3 | |
| CCAD(C)Training Regime=Multi-class based2025.12 | — | — | — | — | — | 67.1 | 71.8 | |
| CCAD(F)Training Regime=Multi-class based2025.12 | — | — | — | — | — | 67 | 71.5 | |
| CCAD(V)Training Regime=Single class based2025.12 | — | — | — | — | — | 89.7 | 69 | |
| CFlow2025.08 | — | — | — | 80.8 | — | — | — | |
| CFLOW2024.10 | — | — | — | — | 73.62 | — | — | |
| ComAD2024.10 | — | — | — | 81.2 | — | — | — | |
| ComAD2026.06 | — | — | — | — | — | 62.2 | — | |
| DDADTraining Regime=Single class based2025.12 | — | — | — | — | — | 88.6 | 67.8 | |
| DFR2024.10 | — | — | — | — | 72.87 | — | — | |
| DiADTraining Regime=Multi-class based2025.12 | — | — | — | — | — | 66.5 | 71.4 | |
| DRÆM2024.10 | — | — | — | — | 62.35 | — | — | |
| DSKDRequires Training=Yes, Network=CNN, Structural Capability=Yes, Logical Capability=Yes2024.06 | — | — | — | — | 84 | — | — | |
| EfficientAD2024.10 | — | — | — | 90.7 | — | — | — | |
| EfficientAD2024.10 | — | — | — | — | 80.62 | — | — | |
| EfficientADmulti-scale setting=true2025.08 | — | — | — | 87.5 | — | — | — | |
| f-AnoGANRequires Training=No, Network=CNN, Structural Capability=Yes, Logical Capability=No, FLOPs (Gb)=7.7, FPS=133.42024.06 | — | — | — | — | 64.3 | — | — | |
| Fastflowmulti-scale setting=true2025.08 | — | — | — | 79.7 | — | — | — | |
| FastFlow2024.10 | — | — | — | — | 71 | — | — | |
| GCAD2024.10 | — | — | — | 83.4 | — | — | — | |
| GCAD2025.08 | — | — | — | 83.3 | — | — | — | |
| generalAD2025.08 | — | — | — | 84.9 | — | — | — | |
| GeneralADModel Size=small, Backbone=DINOv22024.07 | — | — | — | 81.9 | — | — | — | |
| GeneralADModel Size=base, Backbone=DINOv22024.07 | — | — | — | 84.7 | — | — | — | |
| GeneralADModel Size=large, Backbone=DINOv22024.07 | — | — | — | 84.9 | — | — | — | |
| GLCFRequires Training=Yes, Network=Transformer, Structural Capability=Yes, Logical Capability=Yes, FLOPs (Gb)=52.6, FPS=11.22024.06 | — | — | — | — | 83.1 | — | — | |
| GRAD2025.08 | — | — | — | 87.5 | — | — | — | |
| KDADBackbone=DINOv2-B2024.07 | — | — | — | 67.5 | — | — | — | |
| LAViTBackbone=PDN2024.10 | — | — | — | 86.7 | — | — | — | |
| MedCLIP2026.06 | — | — | — | — | — | 54.9 | 69.1 | |
| MSFlowmulti-scale setting=true2025.08 | — | — | — | 81.6 | — | — | — | |
| PadimRequires Training=Yes, Network=CNN, Structural Capability=Yes, Logical Capability=No, FPS=4.62024.06 | — | — | — | — | 78 | — | — | |
| PaDim2025.08 | — | — | — | 68.9 | — | — | — | |
| PaDiM2024.10 | — | — | — | — | 68.38 | — | — | |
| Patchcore2024.07 | — | — | — | 80.3 | — | — | — | |
| PatchcoreRequires Training=Yes, Network=CNN, Structural Capability=Yes, Logical Capability=No, FLOPs (Gb)=11.4, FPS=25.12024.06 | — | — | — | — | 83.5 | — | — | |
| PatchCore2024.10 | — | — | — | 81.7 | — | — | — | |
| PatchCore2024.10 | — | — | — | — | 81.49 | — | — | |
| PatchCoreTraining Regime=Single class based2025.12 | — | — | — | — | — | 65.4 | 64.3 | |
| PatchCore2025.08 | — | — | — | 81 | — | — | — | |
| PatchCore2026.06 | — | — | — | — | — | 62 | 69.8 | |
| PSAD2024.10 | — | — | — | 94.9 | — | — | — | |
| RD2025.08 | — | — | — | 79.7 | — | — | — | |
| RD++multi-scale setting=true2025.08 | — | — | — | 75.3 | — | — | — | |
| RDAD2024.07 | — | — | — | 79.7 | — | — | — | |
| Recontrast2024.07 | — | — | — | 82.1 | — | — | — | |
| Reverse Distillation2024.10 | — | — | — | — | 61.56 | — | — | |
| rFMsingle-scale setup=true2025.08 | — | — | — | 69.7 | — | — | — | |
| SAM-LADRequires Training=No, Network=Transformer, Structural Capability=Yes, Logical Capability=Yes, FLOPs (Gb)=54.7, FPS=8.92024.06 | — | — | — | — | 90.7 | — | — | |
| SimpleNet2024.07 | — | — | — | 77.6 | — | — | — | |
| SINBAD2025.08 | — | — | — | 86.8 | — | — | — | |
| SPADERequires Training=Yes, Network=CNN, Structural Capability=Yes, Logical Capability=No, FPS=0.92024.06 | — | — | — | — | 74 | — | — | |
| SPADE2025.08 | — | — | — | 68.8 | — | — | — | |
| THFRRequires Training=Yes, Network=CNN, Structural Capability=Yes, Logical Capability=Yes, FPS=7.692024.06 | — | — | — | — | 86 | — | — | |
| THFR2025.08 | — | — | — | 86 | — | — | — | |
| ULSAD2024.10 | — | — | — | — | 84.1 | — | — | |
| UniAD2026.06 | — | — | — | — | — | 50.9 | 70.6 | |
| UniVAD2026.06 | — | — | — | — | — | 71 | 75.1 | |
| UniVAD v2Shot Setting=1N-shot2026.06 | — | — | — | — | — | 71.5 | 75 | |
| UniVAD v2Shot Setting=1N+1A-shot2026.06 | — | — | — | — | — | 72.1 | 74.9 | |
| WinCLIP2026.06 | — | — | — | — | — | 58 | 58.8 | |
| WT-Flowsingle-scale setup=true2025.08 | — | — | — | 87.7 | — | — | — |