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Anomaly Detection on MVTec AD (Per-Class AUROC)

100Carpet AUROCCS-Flow
38.95254.80170.6586.499Aug 27, 2021May 24, 2022Feb 19, 2023Nov 16, 2023Aug 13, 2024May 10, 2025Feb 5, 2026

Evaluation results

MethodLinks
CS-Flow2026.021009910010010099.899.197.199.699.198.697.691.999.399.798.7—
PatchFlow2026.0210099.8310099.199.6510099.0197.2110010097.3598.3410099.5499.2199.28—
SAM-LADzero-shot=true2024.0610099.210097.310095.296.899.399.998.695.796.310095.896.298.4—
DSRSetting=unsupervised2024.0899.910099.610092.299.896.696.799.599.898.395.810093.599.798.1—
Multi-ADCategory=Distillation-based, Metric Type=Image-level (IL) AUROC (%)2026.0299.899.710099.810010099.698.499.810099.398.699.898.999.899.6—
Padim2024.0699.899.210098.196.799.992.791.39298.785.896.193.397.490.395.5—
C-FLOW2024.0699.899.110098.196.710097.697.710099.391.999.796.895.298.598.3—
GLCF2024.0699.899.310099.899.710010095.510010095.392.596.310097.298.3—
SimpleNetCategory=Clustering-based, Metric Type=Image-level (IL) AUROC (%)2026.0299.799.710099.810010099.997.21001009998.299.710099.999.5—
EfficientADSetting=unsupervised2024.0899.399.910010099.510095.297.999.499.698.69710099.999.799.1—
PADIM2026.0299.197.399.294.194.998.396.798.598.297.295.798.598.897.598.597.5—
CFlow-AD2026.0298.9897.6498.9899.2598.9998.8999.6698.5698.9598.8698.0198.9397.9996.6599.0898.62—
RD4ADCategory=Reconstruction-based, Metric Type=Image-level (IL) AUROC (%)2026.0298.999.399.499.399.298.79596.398.910096.69799.596.798.598.2—
RD4AD2024.0698.999.210099.31001009596.399.91009799.596.696.798.598.4—
STFPMCategory=Reconstruction-based, Metric Type=Image-level (IL) AUROC (%)2026.0298.89999.397.497.298.995.598.398.597.697.898.398.982.598.597.1—
PatchcoreSetting=unsupervised2024.0898.798.210010099.110099.598.510099.995.197.395.399.899.298.7—
PatchCoreCategory=Clustering-based, Metric Type=Image-level (IL) AUROC (%)2026.0298.798.210098.799.210099.598.110010096.698.110010098.899.1—
PatchCore2026.0298.798.210098.799.210099.598.110010096.698.110010099.499.1—
Patchcore2024.0698.799.210098.798.210099.598.110010098.110096.610099.499.1—
SuperSimpleNetSetting=unsupervised2024.0898.499.310099.799.310098.198.799.899.598.192.992.299.999.698.4—
RFS energy2021.0898.489.6410096.998.11009289.499.998.294.57099.291.998.794.598.1
ASTSetting=unsupervised2024.0898.398.710099.199.21009898.810097.89999.197.598.999.198.9—
SimpleNetSetting=unsupervised2024.0897.899.610098.897.310098.99899.399.19788.789.999.599.497.6—
FastFlowSetting=unsupervised2024.0897.510010099.998.910093.998.198.999.696.784.589.298.598.596.9—
DRÆMSetting=unsupervised2024.089799.910099.699.199.291.898.510098.798.993.910093.110098—
DRÆM2026.029799.910099.699.199.291.898.510098.798.993.910093.110098.03—
DRAEM2024.069799.110099.699.999.291.898.510098.793.910098.993.110098—
PaDiMCategory=Clustering-based, Metric Type=Image-level (IL) AUROC (%)2026.0296.294.697.88691.194.888.893.592.685.692.794.493.184.595.992.1—
CutPaste2026.0293.910010094.699.198.281.298.298.399.994.988.799.496.199.996.1—
PMB-AE2024.0693.197.194.597.210093.785.682.399.485.886.19795.880.877.391.8—
DifferNet2021.0892.98497.199.499.89995.986.999.396.188.896.398.691.195.194.796.1
RIAD2024.0684.29310098.799.699.981.988.483.388.584.510083.890.998.191.7—
1-NN2021.0881.155.790.396.993.498.788.571.197.976.783.76791.975.688.683.9—
MKDCategory=Distillation-based, Metric Type=Image-level (IL) AUROC (%)2026.0279.37895.191.694.399.489.280.598.473.682.783.392.285.693.287.8—
MKD2024.0679.378.195.191.694.399.489.280.598.482.782.783.392.285.693.287.7—
GANomaly2021.0869.970.884.279.483.489.275.773.278.57074.374.665.379.274.576.2—
AE2024.0667694652838861615454605174528063—
OCSVM2021.0862.7418887.695.39980.354.491.161.172.974.761.956.751.771.9—
GeoTrans2021.0843.761.984.141.761.174.478.36735.981.3635097.286.98267.2—
DSEBM2021.0841.371.741.66995.281.868.559.476.267.980.699.978.174.158.470.9—