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ResearchFormerly WizWand

Image Classification on CIFAR-10 Clean (Accuracy)

94.77AccuracySource
88.561290.173191.78593.3969Nov 24, 2023Apr 23, 2024Sep 21, 2024Feb 19, 2025Jul 20, 2025Dec 18, 2025May 19, 2026
Updated 5mo ago

Evaluation results

MethodLinks
SourceBackbone=WRN-28-10, Normalization=BatchNorm2023.1194.77
TEABackbone=WRN-28-10, Normalization=BatchNorm2023.1194.09
BNBackbone=WRN-28-10, Normalization=BatchNorm2023.1193.97
SARBackbone=WRN-28-10, Normalization=BatchNorm2023.1193.97
ETABackbone=WRN-28-10, Normalization=BatchNorm2023.1193.96
EATABackbone=WRN-28-10, Normalization=BatchNorm2023.1193.96
PLBackbone=WRN-28-10, Normalization=BatchNorm2023.1193.75
TENTBackbone=WRN-28-10, Normalization=BatchNorm2023.1193.66
GCELoss function=Generalized Cross Entropy2026.0593.48
CELoss function=Cross Entropy2026.0593.45
SHOTBackbone=WRN-28-10, Normalization=BatchNorm2023.1193.25
SGCELoss function=SGCE, Normalization=Euclidean2026.0593.05
UnhingedLoss function=multi-class unhinged loss, Normalization=Euclidean2026.0593.03
SCELoss function=Symmetric Cross Entropy2026.0592.99
α-MAELoss function=alpha-MAE, Normalization=Euclidean2026.0592.64
ANL-CELoss function=ANL-CE2026.0591.66
NCE+AGCELoss function=NCE+AGCE2026.0591.08
NCE+RCELoss function=NCE+RCE2026.0590.94
MAELoss function=Mean Absolute Error2026.0588.8