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Anomaly Detection on MPDD

0.996Clean AUROCGLASS
0.544640.661820.7790.89618Mar 9, 2024Jun 23, 2024Oct 8, 2024Jan 23, 2025May 10, 2025Aug 25, 2025Dec 10, 2025

Evaluation results

MethodLinks
GLASS2025.060.9960.091———
GLASSAttack=PGD-1000, epsilon=8/2552025.060.9940.063———
GLADAttack=PGD-1000, epsilon=8/2552025.060.9870.108———
PatchCoreAttack=PGD-1000, epsilon=8/2552025.060.9850.019———
RealNetAttack=PGD-1000, epsilon=8/2552025.060.9820.075———
GeneralADAttack=PGD-1000, epsilon=8/2552025.060.9810.149———
GeneralAD2025.060.980.128———
GeneralADModel Size=base, Backbone=DINOv22024.070.98————
GeneralADModel Size=large, Backbone=DINOv22024.070.978————
GLAD2025.060.9750.097———
SimpleNetAttack=PGD-1000, epsilon=8/2552025.060.9740.073———
ReConPatchAttack=PGD-1000, epsilon=8/2552025.060.9670.026———
SimpleNet2025.060.9660.07———
RealNet2024.030.963————
GeneralADModel Size=small, Backbone=DINOv22024.070.962————
ULSAD2024.100.9573————
MuScAttack=PGD-1000, epsilon=8/2552025.060.9550.06———
SimpleNet2024.070.948————
ReContrastAttack=PGD-1000, epsilon=8/2552025.060.9460.036———
ReContrast2025.060.9450.045———
DRAEM2025.060.9430.028———
PatchGuardAttack=PGD-1000, epsilon=8/2552025.060.9380.866———
RDAD2024.070.927————
PatchCore2025.060.9130.068———
DRAEMAttack=PGD-1000, epsilon=8/2552025.060.9070.047———
PatchCore2024.100.8822————
CFLOW2024.100.8711————
CFlow2024.030.861————
EfficientAD2024.100.8542————
PatchGuard2025.060.8540.686———
PatchCore2024.030.821————
Patchcore2024.070.821————
DAPOTraining Dataset=MVTec-AD2025.120.812———0.836
DFR2024.100.7975————
Reverse Distillation2024.100.7962————
AA-CLIPAvailable training shots=162025.030.783————
MultiADSTraining Dataset=MVTec-AD2025.120.783———0.784
SPADE2024.030.771————
AnomalyCLIPTraining Dataset=MVTec-AD2025.120.77———0.82
AA-CLIPAvailable training shots=642025.030.757————
AA-CLIPAvailable training shots=full2025.030.751————
PaDiM2024.030.748————
DRÆM2024.100.7414————
AnomalyCLIPAvailable training shots=full2025.030.737————
CLIP & VANDAvailable training shots=N/A2025.030.73————
AprilGANTraining Dataset=MVTec-AD2025.120.73———0.802
DAGAN2024.030.725————
KDADBackbone=DINOv2-B2024.070.721————
AdaCLIPAvailable training shots=full2025.030.721————
PrincipaLSadversarial_training=true2025.060.7190.157———
MVFA-ADAvailable training shots=full2025.030.709————
RODEOadversarial_training=true2025.060.6880.074———
PaDiM2024.100.6848————
AdaCLIPTraining Dataset=MVTec-AD2025.120.663———0.75
ZARNDadversarial_training=true2025.060.6570.122———
FastFlow2024.100.6503————
Skip-GANomaly2024.030.648————
WinCLIPAvailable training shots=N/A2025.030.636————
AA-CLIPAvailable training shots=22025.030.636————
WinCLIPTraining Dataset=MVTec-AD2025.120.636———0.699
CoCoOpTraining Dataset=MVTec-AD2025.120.61————
CLIP-ACTraining Dataset=MVTec-AD2025.120.562———0.66
AdaCLIPPrompting Category=Prompt Design, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08——0.7640.804—
AnomalyCLIPPrompting Category=Prompt Learning, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08——0.7370.765—
APRIL-GANPrompting Category=Prompt Design, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08——0.7680.829—
Asymmetric teacher-student network2026.04——0.958——
CFAEvaluation Scenario=Full Dataset2023.05——0.923——
CFASetting=Multi-class2025.05——0.9080.929—
CFLOW-AD2026.04——0.757——
CLIP-ADPrompting Category=Prompt Design, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08——0.7160.763—
CoPSPrompting Category=Prompt Learning, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08——0.7860.811—
CRASSetting=Multi-class2025.05——0.950.963—
DeSTSeg2026.04——0.913——
DiAD2026.04——0.683——
DMDDCategory=bracket black2024.08——0.9574——
DMDDCategory=bracket brown2024.08——0.9894——
DMDDCategory=bracket white2024.08——0.9833——
DMDDCategory=connector2024.08——1——
DMDDCategory=metal plate2024.08——1——
DMDDCategory=tubes2024.08——0.9556——
DMDDCategory=Average2024.08——0.981——
DRAEMEvaluation Scenario=Full Dataset2023.05——0.941——
DRAEMSetting=Multi-class2025.05——0.6640.736—
DSRSetting=Multi-class2025.05——0.7570.788—
FAPromptPrompting Category=Prompt Learning, Backbone=CLIP (ViT-L/14@336px), Resolution=518 x 518, Setting=Zero-Shot Anomaly Detection2025.08——0.7650.803—
FastFlowEvaluation Scenario=Full Dataset2023.05——0.887——
GLASSSetting=Multi-class2025.05——0.9440.958—
LeMOEvaluation Scenario=Full Dataset2023.05——0.922——
MemKDCategory=bracket black2024.08——0.912——
MemKDCategory=bracket brown2024.08——0.952——
MemKDCategory=bracket white2024.08——0.927——
MemKDCategory=connector2024.08——1——
MemKDCategory=metal plate2024.08——1——
MemKDCategory=tubes2024.08——0.962——
MemKDCategory=Average2024.08——0.954——
OneNIPSetting=Multi-class2025.05——0.8240.844—
OneNIP# class=62026.02——0.8520.884—
PatchcoreEvaluation Scenario=Full Dataset2023.05——0.948——
PBASSetting=Multi-class2025.05——0.9370.955—
PFlowSetting=Multi-class2025.05——0.7380.802—