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Image-level Anomaly Detection on MVTec AD (test)

99.7Overall AUROCMSFlow
52.06864.43476.889.166Sep 30, 2021Jul 13, 2022Apr 25, 2023Feb 5, 2024Nov 17, 2024Aug 30, 2025Jun 12, 2026

Evaluation results

MethodLinks
MSFlowTaxonomy=Flow-based, Venue=Ours2023.0899.710099.599.210010099.697.810010010099.610099.8100100100100—————
MemKDDistillation Paradigm=Reverse Distillation2024.1299.5——————————————————————
AST2022.1099.210098.599.710098.599.199.796.699.399.199.197.599.110010010099.3—————
PatchCore2022.1099.110099.598.110010096.698.110010099.499.298.798.210098.798.898.3—————
PatchCoreTaxonomy=Clustering-based, Venue=CVPR 222023.0899.110099.598.110010096.698.110010098.899.198.798.210098.799.299—————
SSPCABTaxonomy=Reconstruction-based, Venue=CVPR 222023.0898.998.496.999.310010099.897.910092.910098.598.210010010099.599.5—————
THFRDistillation Paradigm=Reverse Distillation2024.1298.9——————————————————————
Guided Information InjectionDistillation Paradigm=Reverse Distillation2024.1298.9—————————————————99.6————
CS-Flow2022.1098.799.899.197.199.699.198.697.691.999.399.798.21009999.910010099.8—————
CSFlowTaxonomy=Flow-based, Venue=WACV'222023.0898.799.899.197.199.699.198.697.691.999.399.798.21009910010010099.8—————
RD++Distillation Paradigm=Reverse Distillation2024.1298.6—————————————————99.4————
RD4ADTaxonomy=Reconstruction-based, Venue=CVPR 222023.0898.51009596.399.910096.69799.596.798.59898.910010099.399.299.5—————
CFlow2022.1098.310097.697.710099.396.891.999.795.298.597.298.799.610099.999.199.5—————
CFlow-ADTaxonomy=Flow-based, Venue=WACV'222023.0898.39997.69998.998.69998.998.993.399.198.299.39999.79896.798.5—————
DeSTSegDistillation Paradigm=Forward Distillation2024.1298.3——————————————————————
RDDistillation Paradigm=Reverse Distillation2024.1298.3—————————————————99.3————
OCR-GANanomaly evaluation function=l1 and latent-feature2022.1098.3——————————————————————
DRAEMUses additional data=true2021.099899.291.898.510098.798.993.910093.110097.49799.910099.699.199.1—————
DRÆM2022.109899.291.898.510098.798.993.910093.110097.497.899.910099.699.199.3—————
DRAEMTaxonomy=Reconstruction-based, Venue=CVPR'212023.089899.291.898.510098.798.993.910093.110097.49799.910099.699.199.1—————
DRAEManomaly evaluation function=discriminative network2022.1098——————————————————————
PaDiM2022.1097.9——————————97.2—————99—————
EdgRecanomaly evaluation function=hand-crafted2022.1097.8——————————————————————
Rippel2022.1097.59999.196.310097.491.494.594.198.298.896.999.693.710010099.298.5—————
Ourstraining_setting=incremental training on the last subdataset2026.0397.41009695.999.299.696.285.697.594.698.2—99.999.810099.699.1——0.009———
VTFusionk-shot=82026.0197.3——————————————————————
NSAvariation=logistic2021.0997.297.794.595.294.798.799.290.210095.199.896.595.699.999.910097.598.6—————
ET-STPMTeacher Backbone=ResNet-182025.1297.1——————————————————————
NAGLShots=42026.0697.1—————————————————980.964———
VTFusionk-shot=42026.0197——————————————————————
VTFusionk-shot=22026.0196.8——————————————————————
NAGLShots=22026.0696.8—————————————————97.90.963———
VODShots=42026.0696.8—————————————————98.70.969———
AdaptCLIPShots=42026.0696.6—————————————————98.30.96———
DINOSaursetting=unsupervised2026.0596.3———————————————————86.595.70
CutPasteTaxonomy=Reconstruction-based, Venue=CVPR'212023.0896.198.281.298.298.399.994.988.799.496.199.995.593.910010094.699.197.5—————
NSAvariation=binary2021.0995.997.692.193.293.599.49790.310093.599.895.685.699.999.999.796.796.4—————
InTraanomaly evaluation function=hand-crafted2022.1095.9——————————————————————
AdaptCLIPShots=22026.0695.7—————————————————97.90.954———
VODShots=22026.0695.7—————————————————98.10.967———
STPM2025.1295.5——————————————————————
STFPM*reimplementation=true2022.1095.410092.38810010093.888.287.893.793.693.798.910010095.599.298.7—————
InCTRLk-shot=82026.0195.3——————————————————————
CutPastevariation=3-way2021.0995.298.380.696.297.399.392.486.398.395.599.494.393.199.910093.498.697—————
NSAvariation=continuous2021.0995.297.590.292.889.394.694.390.199.692.899.594.190.998.510010097.897.5—————
FastReconk-shot=82026.0195.2——————————————————————
WinCLIP+k-shot=42026.0195.2——————————————————————
WinCLIPShots=42026.0695.2—————————————————97.30.947———
DifferNet2022.1094.79995.986.999.396.188.896.398.691.195.194.792.98497.199.499.894.6—————
DifferNetTaxonomy=Flow-based, Venue=WACV'212023.0894.79995.986.999.396.188.896.398.691.195.194.792.98497.199.499.894.6—————
RWDAk-shot=42026.0194.5——————————————————————
InCTRLk-shot=42026.0194.5——————————————————————
WinCLIP+k-shot=22026.0194.4——————————————————————
WinCLIPShots=22026.0694.4—————————————————970.944———
PatchCorek-shot=82026.0194.3——————————————————————
FastReconk-shot=42026.0194.2——————————————————————
RWDAk-shot=22026.0194——————————————————————
InCTRLk-shot=22026.0194——————————————————————
Uninformed Student2022.1093.29978.792.599.189.192.28610079.494.49199.998.194.794.799.197.3—————
UCADtraining_setting=incremental training on the last subdataset2026.039310075.186.699.498.889.473.910087.493.8—96.594.410099.899.5——0.01———
PatchCoresetting=unsupervised, experience replay=true2026.0592.5———————————————————80.880.40.023
RIADanomaly evaluation function=hand-crafted2022.1091.7——————————————————————
RegADk-shot=82026.0191.2——————————————————————
FastReconk-shot=22026.0191——————————————————————
ResADShots=42026.0690.7—————————————————95.70.939———
UniADrehearsal_cache_pool=true, training_setting=incremental training on the last subdataset2026.0390.499.770.176.593.696.489.555.492.896.698.7—99.889.610098.998.2——0.076———
PatchCorek-shot=42026.0189.5——————————————————————
PII2021.0988.997.668.984.982.798.986.374.793.190.199.887.765.610010098.491.991.2—————
PatchCoreShots=42026.0688.8—————————————————94.50.926———
RegADk-shot=42026.0188.2——————————————————————
PatchCorek-shot=22026.0187.8——————————————————————
ResADShots=22026.0687.2—————————————————93.90.922———
DNEtraining_setting=incremental training on the last subdataset2026.03879961.960.992.498.967.158.893.387.795.8—98.499.81009893——0.116———
PatchCoreShots=22026.0686.3—————————————————93.80.92———
RegADk-shot=22026.0185.7——————————————————————
SPADE2025.1285.5——————————————————————
SPADEShots=42026.0684.8—————————————————92.50.915———
CutPastevariation=end-to-end2021.0984.510075.489.281.470.690.365.596.788.298.785.653.199.786.687.884.682.4—————
ARNet2022.1083.994.183.268.185.566.778.610010084.387.684.870.688.386.273.592.382.2—————
ITAE2025.1283.9——————————————————————
SPADEShots=22026.0682.9—————————————————91.70.911———
FPI2021.0981.990.26887.58688.471.861.285.879.697.781.65699.591.790.274.482.4—————
UCADsetting=unsupervised2026.0579.8———————————————————63.555.20
RD4ADk-shot=82026.0178.5——————————————————————
UniADtraining_setting=incremental training on the last subdataset2026.0377.480.16682.390.479.186.973.177.64999.7—75.471.371.568.790.3——0.229———
RD4ADk-shot=42026.0176.9——————————————————————
GAN2022.1076.289.275.773.278.57074.374.665.379.274.575.569.970.884.279.483.477.5—————
GANomaly2025.1276.2——————————————————————
RD4ADk-shot=22026.0175.5——————————————————————
l2-AE2025.1275.4——————————————————————
SimpleNettraining_setting=incremental training on the last subdataset2026.0370.893.85651.985.97170.159.942.266.999.6—73.659.274.965.490.8——0.211———
CFAtraining_setting=incremental training on the last subdataset2026.0362.330.948.927.590.346.452.852.851.93298.4—83.457.193.576.392.3——0.361———
PatchCoretraining_setting=incremental training on the last subdataset2026.0360.216.351.83583.925.945.948.458.634.199.1—96.87062.577.697——0.383———
RD4ADtraining_setting=incremental training on the last subdataset2026.0359.640.153.847.590.962.347.959.639.738.598.7—58.355.859.671.570——0.393———
DRAEMtraining_setting=incremental training on the last subdataset2026.0359.579.341.151.752.442.245.210062.530.799.6—53.779.94854.851.7——0.371———
STPMtraining_setting=incremental training on the last subdataset2026.0357.632.953.9615445.652.375.337.54578.3—46.256.97473.677.9——0.325———
SPADEtraining_setting=incremental training on the last subdataset2026.0357.130.244.452.54159.248.451.438.662.294.9—52.94657.788.189.7——0.285———
FAVAEtraining_setting=incremental training on the last subdataset2026.0354.766.639.635.788.441.653.162.450.333.154.4—6164.440.656.372.8——0.102———
PaDiMtraining_setting=incremental training on the last subdataset2026.0354.545.854.441.863.544.644.957.867.840.785.5—45.470.441.858.154.9——0.368———
CSFlowtraining_setting=incremental training on the last subdataset2026.0353.912.94236.326.92226.343.456.943.299.7—97.860.290.669.780.2——0.426———