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Multi-class Classification on ImageNet-LT

42.25Top-1 AccuracyRefCal
30.737233.726136.71539.7039May 22, 2026

Evaluation results

MethodLinks
RefCalBackbone=ResNet18, Baseline comparison=LS Szegedy et al. (2015)2026.0542.2598.18.46548.19
RefCalBackbone=ResNet18, Baseline comparison=MbLS Liu et al. (2022)2026.0542.2398.18.63548.3
RefCalBackbone=ResNet18, Baseline comparison=MMCE Kumar et al. (2018)2026.0542.2298.110.625410.25
RefCalBackbone=ResNet18, Baseline comparison=FL+ MDCA Hebbalaguppe et al. (2022b)2026.0542.1998.27.3547.07
RefCalBackbone=ResNet18, Baseline comparison=NLL (CE)2026.0542.1898.110.825410.38
RefCalBackbone=ResNet18, Baseline comparison=CE+TS Guo et al. (2017)2026.0542.1898.26.14546
RefCalBackbone=ResNet18, Baseline comparison=CRL Moon et al. (2020)2026.0542.1898.110.825410.38
RefCalBackbone=ResNet18, Baseline comparison=LogitNorm Wei et al. (2022)2026.0542.0496.341.911625.77
LogitNorm Wei et al. (2022)Backbone=ResNet182026.05429641.8111627.43
MMCE Kumar et al. (2018)Backbone=ResNet182026.0541.8998.115.917615.78
RefCalBackbone=ResNet18, Baseline comparison=AdaFocal Ghosh et al. (2022)2026.0541.8397.819.256418.83
NLL (CE)Backbone=ResNet182026.0541.7698.316.117615.98
CE+TS Guo et al. (2017)Backbone=ResNet182026.0541.7698.39.13658.98
LS Szegedy et al. (2015)Backbone=ResNet182026.0541.7397.76.06566.02
CRL Moon et al. (2020)Backbone=ResNet182026.0541.6198.116.087615.95
MbLS Liu et al. (2022)Backbone=ResNet182026.0541.1497.74.18654.16
FL+ MDCA Hebbalaguppe et al. (2022b)Backbone=ResNet182026.0540.6898.48.04668.03
AdaFocal Ghosh et al. (2022)Backbone=ResNet182026.0531.1895.634.0110730.26