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Anomaly Localization on MVTec AD 1.0 (test)

99.6AUROC (Pixel)MRKD
61.01671.03381.0591.067Jul 4, 2022Feb 6, 2023Sep 11, 2023Apr 15, 2024Nov 18, 2024Jun 23, 2025Jan 27, 2026

Evaluation results

MethodLinks
MRKDCategory=Screw2025.1299.6—98.4—————————————————————
MRKDCategory=Leather2025.1299.5—99.2—————————————————————
MRKDCategory=Carpet2025.1299.3—98.1—————————————————————
MRKDCategory=Grid2025.1299.3—97.5—————————————————————
BGADtraining_setting=Multi-class, abnormal_samples=10, supervision=Supervised2022.0799.2————97.6——————————————————
IntraCategory=Carpet2025.1299.2———————————————————————
PaDiMCategory=Carpet2025.1299.1—96.2—————————————————————
MRKDCategory=Hazelnut2025.1299.1—95.5—————————————————————
MRKDCategory=Toothbrush2025.1299.1—94.1—————————————————————
PatchCoreCategory=Carpet2025.1299—96.6—————————————————————
RD4ADCategory=Carpet2025.1298.9—97—————————————————————
STFPMCategory=Carpet2025.1298.8—95.8—————————————————————
MRKDCategory=Capsule2025.1298.8—95.3—————————————————————
MRKDCategory=Bottle2025.1298.7—96.9—————————————————————
MRKDCategory=Pill2025.1298.5—97.1—————————————————————
MRKDCategory=Average2025.1298.4—95.3—————————————————————
CutPasteCategory=Carpet2025.1298.3———————————————————————
MRKDCategory=Cable2025.1298.3—94.2—————————————————————
MRKDCategory=Zipper2025.1298.3—95.4—————————————————————
MRKDCategory=Transistor2025.1298.1—91.4—————————————————————
PatchCoreCategory=Average2025.1298.1—93.4—————————————————————
RD4ADCategory=Average2025.1297.8—93.9—————————————————————
MRKDCategory=Metal nut2025.1297.6—91.7—————————————————————
SPADECategory=Carpet2025.1297.5—94.7—————————————————————
PaDiMCategory=Average2025.1297.5—92.1—————————————————————
DRAEMCategory=Average2025.1297.3———————————————————————
FCDDtraining_setting=Multi-class, abnormal_samples=10, supervision=Supervised2022.0796.6————93.8——————————————————
IntraCategory=Average2025.1296.6———————————————————————
SPADECategory=Average2025.1296.5—91.7—————————————————————
STFPMCategory=Average2025.1296.5—92.1—————————————————————
PaDiMBackbone=ResNet-182026.0196.4—73.3———————————————————44.321.7
RIADCategory=Carpet2025.1296.3———————————————————————
NSACategory=Average2025.1296.3———————————————————————
CutPasteCategory=Average2025.1296———————————————————————
MRKDCategory=Tile2025.1295.9—91.9—————————————————————
MRKDCategory=Wood2025.1295.9—92.5—————————————————————
P-SVDDCategory=Average2025.1295.7———————————————————————
DRAEMCategory=Carpet2025.1295.5———————————————————————
NSACategory=Carpet2025.1295.5———————————————————————
RIADCategory=Average2025.1294.2———————————————————————
PatchCoreLiteBackbone=ResNet-182026.0194—85.4———————————————————47.67.7
P-SVDDCategory=Carpet2025.1292.6———————————————————————
STFPMBackbone=ResNet-182026.0182.2—47.1———————————————————17.120.7
D3R-FFT2026.0175.1—46.8———————————————————16.620.3
D3R-MSE2026.0173.8—44.1———————————————————17.721.5
AE-MSE2026.0173.3—41.7———————————————————15.219.8
D3R-FFT-SSIM2026.0162.5—34.6———————————————————12.720.5
CFA2022.06—98.2—97.298.6———————————————————
CFASupervision=Unsupervised, Backbone=WideResNet50, Resolution=256x2562022.12——————98.697.699.195.194.798.698.898.498.698.79898.398.898.198.698——
CFA++2022.06—98.5—97.598.9———————————————————
CFLOW2022.06—98.6—98.598.7———————————————————
CFLOWSupervision=Unsupervised, Backbone=WideResNet50, Resolution=256x2562022.12——————99.298.999.796.28697.297.899.198.898.698.998.99998.299.197.7——
CutPasteImage Size=2562022.01—96——————————————————————
CutPaste2022.06—97.5—96.997.8———————————————————
DevNetSupervision=Supervised, Resolution=256x2562022.12——————97.287.994.292.786.493.988.891.891.177.882.660.384.65693.785.3——
DFRMethod Paradigm=Reconstruction-based methods2026.03——————97989887949792999993979998.1809695.5——
DRASupervision=Supervised, Resolution=256x2562022.12——————98.28693.892.382.991.386.689.389.679.584.55475.579.196.985.3——
DraemMethod Paradigm=Reconstruction-based methods2026.03——————95.599.398.699.296.899.194.794.392.996.397.697.698.190.998.897.3——
DRAEMSupervision=Unsupervised, Backbone=reconstructive encoder, Resolution=256x2562022.12——————97.599.79999.295.599.195.288.199.799.697.399.397.385.299.196.7——
EffiAD2023.03—93.5—91.294.6—92.788.998.385.790.295.792.597.695.794.496.196.493.391.293.4———
GCPFMethod Paradigm=Embedding-based methods2026.03——————98.997.899.396.195.197.595.797.298.195.997.397.497.290.698.296.9——
HETMMTraining Samples=ALL, Backbone=WResNet101, Fine-tuning=false, Resolution=256x256, Data Augmentation=false2023.03—96.4—96.296.5—97.597.598.891.795.296.595.496.896.995.397.298.194.996.596.7———
HETMMTraining Samples=60 sheets, Backbone=WResNet101, Fine-tuning=false, Resolution=256x256, Data Augmentation=false2023.03—95.8—95.695.9—97.196.698.790.69596.49596.596.894.29796.794.995.696———
HVQT2023.03—91.5—91.591.5—95.19097.785.389.194.5899193.190.995.494.489.295.591.9———
IntraMethod Paradigm=Reconstruction-based methods2026.03——————99.298.899.594.488.797.19197.798.393.398.399.598.996.199.296.6——
KDADSupervision=Unsupervised, Resolution=256x2562022.12——————95.589.498.180.285.395.780.295.29583.389.995.895.575.995.390——
MBPFMMethod Paradigm=Embedding-based methods2026.03——————99.298.899.496.295.698.496.798.399.197.297.298.798.687.898.297.3——
MFImage Size=2562022.01——90.1—————————————————————
MKDImage Size=1282022.01—90.7——————————————————————
MSFlow2023.03—95.8—9795.2—99.398.699.993.993.598.492.797.59792.995.29690.892.798.5———
Pacth SVDDMethod Paradigm=Embedding-based methods2026.03——————92.696.297.491.490.898.196.895.897.59895.195.798.19795.195.7——
PaDiMImage Size=2562022.01—97.592.1—————————————————————
PaDiM2022.06—97.5—95.395.3———————————————————
Patch SVDD2022.06—95.7—93.796.7———————————————————
PatchCore2022.06—98.2—97.598.3———————————————————
PatchCoreSupervision=Unsupervised, Backbone=WideResNet50, Resolution=256x2562022.12——————9998.799.395.895.198.698.59998.798.397.699.598.696.598.998.1——
PatchCore2023.03—93.1—93.992.7—96.596.198.988.389.595.991.695.593.891.292.997.190.281.297———
PNI2023.03—96—95.596.3—97.694.398.394.792.595.998.995.696.995.996.797.292.796.297.3———
PRNSupervision=Supervised, Backbone=ResNet-18, Resolution=256x2562022.12——————9998.499.799.697.899.498.898.599.799.799.597.599.698.498.899——
RD4ADSupervision=Unsupervised, Backbone=WideResNet50, Resolution=256x2562022.12——————98.998.399.495.795.898.897.298.79997.398.199.799.192.398.397.8——
RD4AD2023.03—93.9—9593.4—9797.699.190.690.996.69195.895.592.396.498.294.57895.4———
RealNet2023.03—93.1—95.691.8—96.497.396.297.790.595.693.484.593.194.49187.991.692.993.4———
Reverse DistillationImage Size=1282022.01—9789.9—————————————————————
Reverse DistillationImage Size=2562022.01—97.893.9—————————————————————
RIADImage Size=2562022.01—94.2——————————————————————
RIADMethod Paradigm=Reconstruction-based methods2026.03——————94.296.399.489.185.898.484.292.896.192.595.798.898.987.797.894.2——
SPADEImage Size=2562022.01—96.591.7—————————————————————
SPADE2022.06—96—92.997.6———————————————————
SPADEMethod Paradigm=Embedding-based methods2026.03——————97.593.797.687.488.598.497.29999.198.196.598.997.994.196.596.5——
SSPCABSupervision=Unsupervised, Backbone=reconstructive encoder, Resolution=256x2562022.12——————92.699.596.399.496.599.295.190.299.799.497.29997.384.898.496.3——
TFA-Net2026.03——————99.39999.495.995.898.598.19998.996.898.499.399.197.798.898.3——
THFR2023.03—95—95.794.6—97.797.799.290.893.397.294.895.996.290.596.498.294.785.996.6———
TrustMAEMethod Paradigm=Reconstruction-based methods2026.03——————98.597.598.182.592.693.492.987.498.591.889.997.698.192.797.894——
UniAD2023.03—91.3—90.691.7—94.292.197.282.687.293.686.790.393.887.295.395.38893.693———
USImage Size=2562022.01——91.4—————————————————————