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Robust Image Classification on CIFAR-10-C common corruptions (test)

89.38Accuracy (Snow)CCAT
33.760848.200462.6477.0796May 31, 2021Nov 11, 2021Apr 24, 2022Oct 5, 2022Mar 18, 2023Aug 29, 2023Feb 9, 2024

Evaluation results

MethodLinks
CCATRejector=Con., Backbone=ResNet-182021.0589.3883.0485.4789.3388.2176.3292.7155.9989.3491.94——————————
CCATRejector=RR, Backbone=ResNet-182021.0589.2285.0386.2689.8388.4177.4592.6258.9589.5992.06——————————
PGD-ATRejector=RR, Backbone=ResNet-182021.0581.8980.8779.4281.976.9563.4984.0244.0382.1885.12——————————
PGD-ATRejector=EBD, Backbone=ResNet-182021.0581.1778.4777.9280.4779.1461.1683.9842.180.8683.34——————————
TRADESRejector=RR, Backbone=ResNet-182021.0580.1680.0379.158174.1863.5582.1345.9980.9884.64——————————
CARLRejector=Margin, Backbone=ResNet-182021.0579.8677.4574.947874.1656.0981.2840.3378.1782.64——————————
PGD-ATRejector=SNet, Backbone=ResNet-182021.0579.7777.7475.5278.7275.8161.3281.7542.9778.5982.08——————————
TRADESRejector=Con., Backbone=ResNet-182021.0578.7579.8978.4880.9271.6163.5380.9745.2280.5384.5——————————
WinninghandBackbone=WideResNet-28-102024.0274.5————74.1——76.512.6———————91.118.342.7
ATRORejector=Margin, Backbone=ResNet-182021.0550.8455.3653.7454.5941.1242.8250.1333.5454.4856.82——————————
l2-ATBackbone=WideResNet-28-102024.0248.7————67.5——44.153.2———————77.226.147.5
linf-ATBackbone=WideResNet-28-102024.0244.7————55.5——53.856.6———————73.432.946.2
MAXBackbone=WideResNet-28-102024.0242.9————56.2——49.857.8———————7135.449.6
l1-ATBackbone=WideResNet-28-102024.0241.4————79——40.548.9———————78.222.946.9
RAMPBackbone=WideResNet-28-102024.0240.5————55.5——52.960.3———————75.540.250.9
E-ATBackbone=WideResNet-28-102024.0235.9————58.5——50.755.7———————71.535.349.4
BN testBackbone=ResNet-282026.06———————————————————79
EATABackbone=ResNet-282026.06———————————————————80
Probabilistic OTTA frameworkBackbone=ResNet-282026.06———————————————————82
SourceBackbone=ResNet-282026.06———————————————————56
TENTBackbone=ResNet-282026.06———————————————————80