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Anomaly Detection on Fashion-MNIST

95.6Avg AUCPANDA
50.3662.10573.8585.595Jan 25, 2021Aug 24, 2021Mar 24, 2022Oct 21, 2022May 21, 2023Dec 18, 2023Jul 17, 2024

Evaluation results

MethodLinks
PANDA2024.0795.6—————————————
GeneralADModel Size=large, Backbone=DINOv22024.0795.2—————————————
RDAD2024.0795—————————————
GeneralADModel Size=base, Backbone=DINOv22024.0794.6—————————————
IGDPretrain=SSL2021.0194.41—————————————
Transformaly2024.0794.4—————————————
KDADBackbone=DINOv2-B2024.0794.4—————————————
MSAD2024.0794.2—————————————
Bergman and HoshenPretrain=SSL2021.0194.1—————————————
GeneralADModel Size=small, Backbone=DINOv22024.0793.9—————————————
IGDPretrain=ImageNet2021.0193.57—————————————
Rot-NetPretrain=SSL2021.0193.5—————————————
LIS-AE2021.1092.56—————————————
Recontrast2024.0792.4—————————————
IGDPretrain=Scratch2021.0192.01—————————————
KDE2021.1091.83—————————————
IF2021.1091.44—————————————
Mem-AE2021.1091.31—————————————
Sig-RepNNN=42021.1091.24—————————————
AnoGAN2021.1090.98—————————————
VAE2021.1090.92—————————————
AE2021.1090.76—————————————
AnoGAN-FM2021.1090.72—————————————
CAVGA-DPretrain=ImageNet2021.0188.5—————————————
Linear-AE2021.1088.45—————————————
FocalSupervision Protocol=Supervised OE2022.0587.7—————————————
CapsNetppPretrain=Scratch2021.0187.6—————————————
SimpleNet2024.0787.4—————————————
A-VAEPretrain=Scratch2021.0187.3—————————————
HSCSupervision Protocol=Unsupervised OE2022.0587.3—————————————
DSADSupervision Protocol=Unsupervised OE2022.0586.4—————————————
BCESupervision Protocol=Supervised OE2022.0586.4—————————————
DSVDDSupervision Protocol=Unsupervised2022.0586.3—————————————
OC-SVM2021.1086.08—————————————
OC-DSVDD2021.1085.77—————————————
FITYMI2024.0779.9—————————————
Patchcore2024.0777.4—————————————
CapsNetrePretrain=Scratch2021.0176.5—————————————
ADGANPretrain=Scratch2021.0167.9—————————————
PixelCNNPretrain=Scratch2021.0152.1—————————————
ADGANProtocol=One-class training protocol2019.11—89.981.987.691.286.589.674.397.28997.188.46.75—
ADGANhighest AUC among all training epochs=true2020.12—————————————88.4
AEProtocol=One-class training protocol2019.11—71.696.972.978.582.993.166.795.47080.780.911.03—
AE_L22021.03—————————————74.7
ALOCC DProtocol=Protocol 12019.03—————————————60.1
ALOCC DRProtocol=Protocol 12019.03—————————————75.3
AnoGAN2021.03—————————————82.4
ARNetProtocol=One-class training protocol2019.11—92.799.389.193.690.893.18598.497.898.493.94.7—
CapsNet2021.03—————————————67.9
CAVGA2021.03—————————————88.5
DAGMMProtocol=One-class training protocol2019.11—42.155.150.45726.970.548.383.549.93451.816.47—
DCAEProtocol=Protocol 12019.03—————————————90.8
DGEOhighest test AUC among multiple runs=true2020.12—————————————93.5
DSEBMProtocol=One-class training protocol2019.11—91.671.888.387.385.287.173.498.18697.186.68.61—
GANomalyProtocol=One-class training protocol2019.11—80.38375.987.271.492.78188.369.380.380.97.37—
GANomalyhighest AUC among all training epochs=true2020.12—————————————80.9
GeoTransProtocol=One-class training protocol2019.11—99.497.691.189.992.193.483.398.990.899.293.55.22—
GPNDProtocol=Protocol 12019.03—————————————90.1
LSA2021.03—————————————64.1
OCGANProtocol=Protocol 12019.03—————————————92.4
OCGAN2021.03—————————————89.5
SkipGAN2021.03—————————————80.7
UTADAblation=Baseline2021.03—————————————74.3
UTADL_info=True2021.03—————————————75.1
UTADEN=True2021.03—————————————88.5
UTADL_info=True, EN=True2021.03—————————————89
UTADL_info=True, EN=True, Guide=True2021.03—————————————89.1
UTADL_info=True, EN=True, m_hat=True2021.03—————————————89.4
UTADL_info=True, EN=True, Guide=True, m_hat=True2021.03—————————————89.9