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Anomaly Localization on VisA (test)

94.7AUPROINP-Former
21.79640.72359.6578.577Aug 6, 2024Nov 23, 2024Mar 13, 2025Jul 1, 2025Oct 18, 2025Feb 5, 2026May 26, 2026

Evaluation results

MethodLinks
INP-FormerNoise Ratio=02026.0594.7—47.6——————
Dinomalyevaluation protocol=multi-class2025.0394.598.753.255.7—————
INP-Formerevaluation protocol=multi-class2025.0394.498.951.254.7—————
Dinomaly + MeDSNoise Ratio=02026.0594.39—51.38——————
Dinomaly + MeDSNoise Ratio=102026.0594.39—51.46——————
DinomalyNoise Ratio=02026.0594.38—52.8——————
INP-Former + MeDSNoise Ratio=22026.0594.26—43.12——————
INP-Former + MeDSNoise Ratio=52026.0594.24—43.51——————
INP-Former + MeDSNoise Ratio=02026.0594.19—49.58——————
Dinomaly + MeDSNoise Ratio=52026.0594.1—51.27——————
Dinomaly + MeDSNoise Ratio=22026.0594.06—50.93——————
Method [2]2024.0894————————
INP-FormerNoise Ratio=22026.0593.96—42.58——————
INP-Former + MeDSNoise Ratio=102026.0593.96—42.7——————
DinomalyNoise Ratio=22026.0593.93—49.81——————
DinomalyNoise Ratio=52026.0593.63—46.94——————
INP-FormerNoise Ratio=52026.0593.24—39.89——————
INP-FormerNoise Ratio=102026.0593.2—42.21——————
DinomalyNoise Ratio=102026.0592.59—46.7——————
DeCo-DiffSetting=Multi-class2025.0392.198.5—51.2—51.3———
GLADVenue=ECCV'24, Setting=Multi-class2025.039297.4—40.3—34.6———
RD4ADevaluation protocol=multi-class2025.0391.898.13842.6—————
RD4ADVenue=CVPR 22, Setting=Multi-class2025.0391.898.1—42.6—38———
MambaADevaluation protocol=multi-class2025.039198.539.444—————
MambaADVenue=NeurIPS'24, Setting=Multi-class2025.039198.5—44—39.4———
MoEADVenue=ECCV'24, Setting=Multi-class2025.0388.698.7—41—36.6———
SoftPatchNoise Ratio=02026.0588.39—47.5——————
Method [12]2024.0888————————
SuperSimpleNet2024.0887.4————————
Method [21]2024.0886.8————————
SoftPatchNoise Ratio=22026.0586.77—45.56——————
UniADevaluation protocol=multi-class2025.0385.598.333.739—————
UniADVenue=NeurIPS'22, Setting=Multi-class2025.0385.598.3—39—33.7———
HVQNoise Ratio=52026.0584.51—31.58——————
HVQNoise Ratio=02026.0584.33—34.17——————
HVQNoise Ratio=102026.0584—33.24——————
HVQNoise Ratio=22026.0583.83—31.81——————
HVQ + MeDSNoise Ratio=102026.0583.4—31.99——————
HVQ + MeDSNoise Ratio=22026.0583.29—31——————
HVQ + MeDSNoise Ratio=52026.0583.27—31.38——————
HVQ + MeDSNoise Ratio=02026.0583.19—30.26——————
SoftPatchNoise Ratio=52026.0582.88—44.73——————
Method [18]2024.0881.5————————
SimpleNetevaluation protocol=multi-class2025.0381.496.834.737.8—————
SimpleNetVenue=CVPR 23, Setting=Multi-class2025.0381.496.8—37.8—34.7———
Method [17]2024.0879.7————————
InReachNoise Ratio=02026.0578.8—31.37——————
Method [23]2024.0878————————
DIADevaluation protocol=multi-class2025.0375.29626.133—————
DIADVenue=AAAI'24, Setting=Multi-class2025.0375.296—33—26.1———
SoftPatchNoise Ratio=102026.0575.09—37.03——————
InReachNoise Ratio=22026.0573.78—29.54——————
Method [25]2024.0868.1————————
DeSTSegevaluation protocol=multi-class2025.0367.496.139.643.4—————
DESTSegVenue=CVPR 23, Setting=Multi-class2025.0367.496.1—43.4—39.6———
INP-FormerZero-shot=true2025.0367.288.77.811.8—————
FUN-ADNoise Ratio=102026.0566.48—46.55——————
InReachNoise Ratio=52026.0565.45—27.76——————
FUN-ADNoise Ratio=52026.0564.59—45.41——————
FUN-ADNoise Ratio=22026.0560.93—37.04——————
WinCLIPZero-shot=true2025.0356.879.6—14.8—————
INP-Formershot=4-shot2025.0354.397.749.393.1—————
InReachNoise Ratio=102026.0551.3—24.15——————
FUN-ADNoise Ratio=02026.0551.22—29.36——————
WinCLIPshot=4-shot2025.034797.2—87.6—————
PatchCoreshot=4-shot2025.0343.996.8—84.9—————
SPADEshot=4-shot2025.0343.696.6—87.3—————
PaDiMshot=4-shot2025.0324.693.2—72.6—————
AdaptCLIPShots=22026.06—97.1—45.691.8————
AdaptCLIPShots=42026.06—97.3—46.792.2————
ADL2026.01——————77.774.872.4
AnomalyCLIPZero-shot=true2025.01—95.5———————
APRIL-GANZero-shot=true2025.01—94.2———————
CLIPZero-shot=true2025.01—46.6———————
CLIP-ACZero-shot=true2025.01—47.8———————
D3ADCategory=Diffusion-based, From Scratch?=false2025.12—97.9———————
DDAD-10Steps=102023.05————92.7————
DestSeg2026.01——————94.793.892.5
DiADsetting=multi-category2024.06—9626.13375.2————
DiADCategory=Diffusion-based, From Scratch?=false2025.12—96———————
DRAEMMethod architecture type=Reconstruction-based2024.01————73.1————
DRAEM2023.05————73.1————
DRAEMCategory=Non-Diffusion Method, From Scratch?=true2025.12—92———————
DRÆM2026.01——————80.978.774.1
Dynamic Implicit ConditioningMethod architecture type=Reconstruction-based2024.01————94.1————
EfficientADCategory=Non-Diffusion Method, From Scratch?=false2025.12—99.1———————
FiLoZero-shot=true2025.01—95.9———————
FiLo++Zero-shot=true, Backbone=CLIP-L/14@336px2025.01—96.2———————
GLADresolution=256, setting=multi-category2024.06—97.835.640.992.1————
GLADCategory=Diffusion+DINO, From Scratch?=false2025.12—98.6———————
LOE2026.01——————70.870.369.6
MSFlowCategory=Flow-based, From Scratch?=false2025.12—97.8———————
Multi-Cue Anomaly Detection framework2026.01——————85.884.783.8
NAGLShots=22026.06—97.6—43.391.4————
NAGLShots=42026.06—97.8—4491.5————
OursCategory=Non-Diffusion Method, From Scratch?=true2025.12—98.6———————
PaDiMMethod architecture type=Representation-based2024.01————85.9————
PaDiM2026.01——————969593.1
PatchCoreMethod architecture type=Representation-based2024.01————91.2————
PatchCore2023.05————91.2————