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ResearchFormerly WizWand

Anomaly Detection on CIFAR100-C Gaussian noise (test)

0.877AUCACR-DSVDD
0.4870.588250.68950.79075Feb 15, 2023
Updated 8mo ago

Evaluation results

MethodLinks
ACR-DSVDDAnomaly Ratio=1%2023.020.877
ACR-DSVDDAnomaly Ratio=5%2023.020.863
ACR-BCEAnomaly Ratio=5%2023.020.86
ACR-BCEAnomaly Ratio=10%2023.020.86
ACR-DSVDDAnomaly Ratio=10%2023.020.859
ACR-BCEAnomaly Ratio=20%2023.020.857
ACR-DSVDDAnomaly Ratio=20%2023.020.856
ACR-BCEAnomaly Ratio=1%2023.020.843
CLIP-ADAnomaly Ratio=5%2023.020.826
CLIP-ADAnomaly Ratio=20%2023.020.826
CLIP-ADAnomaly Ratio=1%2023.020.823
CLIP-ADAnomaly Ratio=10%2023.020.823
ResNet152-IAnomaly Ratio=1%2023.020.756
ResNet152-IAnomaly Ratio=5%2023.020.732
ResNet152-IAnomaly Ratio=10%2023.020.732
ResNet152-IAnomaly Ratio=20%2023.020.699
ResNet152-IIAnomaly Ratio=1%2023.020.625
ResNet152-IIAnomaly Ratio=5%2023.020.618
ResNet152-IIAnomaly Ratio=10%2023.020.612
ResNet152-IIAnomaly Ratio=20%2023.020.602
OC-MAMLAnomaly Ratio=20%2023.020.571
OC-MAMLAnomaly Ratio=10%2023.020.558
OC-MAMLAnomaly Ratio=5%2023.020.541
OC-MAMLAnomaly Ratio=1%2023.020.53
ADIBAnomaly Ratio=1%2023.020.509
ADIBAnomaly Ratio=10%2023.020.506
ADIBAnomaly Ratio=5%2023.020.505
ADIBAnomaly Ratio=20%2023.020.502