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Anomaly Detection on MVTec-LOCO 1.0 (test)

95.3ROC-AUC (Total)CSAD
52.6663.7374.885.87Feb 23, 2023May 26, 2023Aug 26, 2023Nov 26, 2023Feb 26, 2024May 28, 2024Aug 28, 2024

Evaluation results

MethodLinks
CSADComponent Segmentation=Unsupervised, Throughput=321.8, Latency (ms)=8.92024.0895.396.79494.494.999.599.994.891.195.697.893.292.2
PSADComponent Segmentation=Supervised, Throughput=10.2, Latency (ms)=97.8, Note=Throughput measured with batch size 12024.0894.898.191.610099.110099.391.984.998.289.895.789.3
EfficientADComponent Segmentation=No Segmentation, Throughput=2369.8, Latency (ms)=1.92024.0890.786.894.785.598.497.756.795.588.499.796.190.798.5
SAM-LADResolution=224x224, k-nearest=22024.0690.795.885.5——————————
ASTComAD=true2023.0590.2————————————
ComADComponent Segmentation=Unsupervised, Throughput=69.9, Latency (ms)=19.52024.0890.189.490.991.19595.771.993.381.698.291.188.594.9
EfficientAD-S2024.069094.185.8——————————
PatchCoreComAD=true2023.0589.4————————————
RD4ADComAD=true2023.0587.3————————————
SINBAD2023.0286.888.984.796.596.683.478.689.387.593.174.292.276.7
DRAEMComAD=true2023.0586————————————
THFR2024.0686————————————
DSKD2024.068481.286.9——————————
DADFBackbone=Wide-Resnet502023.0383.779.288.2——————————
ASTComponent Segmentation=No Segmentation, Throughput=28.2, Latency (ms)=58.72024.0883.779.787.78091.665.180.181.879.995.577.895.989.4
GCAD2023.0283.48680.78710097.55689.780.998.974.970.578.3
GCAD2023.0383.48680.7——————————
GCAD2024.0683.48680.7——————————
GLCF2024.0683.182.483.8——————————
PNPTLearning paradigm=Explicit normality learning2024.0681.979.584.3——————————
PatchCoreComponent Segmentation=No Segmentation, Throughput=109.9, Latency (ms)=17.32024.0881.673.989.374.893.963.657.879.280.198.587.99288
UniADLearning paradigm=Implicit normality learning, Publication venue=NeurIPS 222024.0680.278.881.6——————————
ASTComAD=false2023.0579.7————————————
RD4AD2023.0378.769.488——————————
CDOLearning paradigm=Implicit normality learning, Publication venue=TII 232024.0678.169.786.6——————————
SimpleNetComponent Segmentation=No Segmentation, Throughput=114.3, Latency (ms)=19.62024.0877.671.583.777.187.86951.67280.990.481.683.382.6
ST2023.0277.466.488.368.982.959.555.565.468.499.390.38796.8
S-T2023.0377.466.488.3——————————
PatchCore2023.0375.56982——————————
PatchCoreComAD=false2023.0575.5————————————
PatchcoreLearning paradigm=Explicit normality learning, Publication venue=CVPR 222024.0675.47377.8——————————
PCore2023.02746978.977.783.762.255.363.374.886.777.686.668.7
SPADE2023.03746978.9——————————
RD4ADLearning paradigm=Implicit normality learning, Publication venue=CVPR 222024.0673.76582.5——————————
DRAEM2023.0373.672.874.4——————————
DRAEMComAD=false2023.0572————————————
SPADELearning paradigm=Explicit normality learning, Publication venue=Arxiv2024.0670.974.567.3——————————
RD4ADComAD=false2023.0570.7————————————
SPADE2023.0268.97166.981.891.960.546.873.874.784.958.159.857.1
PadimLearning paradigm=Explicit normality learning, Publication venue=ICPR 212024.0667.162.371.8——————————
MNAD2023.0265.160.170.259.970.551.760.857.660.284.176.756.873.2
MNAD2023.0365.160.170.2——————————
MNAD2024.0665.160.170.2——————————
f-AG2023.0264.365.962.769.482.459.149.768.850.777.874.946.163.8
f-AnoGAN2024.0664.365.962.7——————————
DraemLearning paradigm=Implicit normality learning, Publication venue=ICCV 212024.06635670——————————
VM2023.0257.756.558.970.359.742.545.364.970.169.465.837.751.6
AE2023.0257.458.256.65867.96246.856.247.762.666.441.564.8
AE2023.0357.458.256.6——————————
AE2024.0657.458.256.6——————————
VAE2023.0254.353.854.847.361.354.34759.438.357.375.14954.6
VAE2023.0354.355.652.9——————————
VAE2024.0654.353.854.8——————————