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ResearchFormerly WizWand

Image Classification on CIFAR-10 Long-Tailed

97.27AccuracyLNSR
63.917272.576181.23589.8939Oct 6, 2021Jul 10, 2022Apr 14, 2023Jan 17, 2024Oct 21, 2024Jul 26, 2025Apr 30, 2026
Updated 6mo ago

Evaluation results

MethodLinks
LNSRBackbone=ViT-base, Imbalance Ratio=502026.0497.27
DSGDBackbone=ViT-base, Imbalance Ratio=502026.0497.15
PCGradBackbone=ViT-base, Imbalance Ratio=502026.0496.85
FFTBackbone=ViT-base, Imbalance Ratio=502026.0496.46
FocalLossBackbone=ViT-base, Imbalance Ratio=502026.0495.29
FocalLossBackbone=ViT-base, Imbalance Ratio=1002026.0489.32
DSGDBackbone=ViT-base, Imbalance Ratio=1002026.0489.23
NoisyTuneBackbone=ViT-base, Imbalance Ratio=502026.0488.94
FFTBackbone=ViT-base, Imbalance Ratio=1002026.0488.47
MWN + KFACIF=10, Backbone=ResNet-322026.0388.4
IBBackbone=ResNet-32, Imbalance Ratio (p)=102021.1088.25
LDAM-DRWBackbone=ResNet-32, Imbalance Ratio (p)=102021.1088.16
IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=102021.1088.09
LNSRBackbone=ViT-base, Imbalance Ratio=1002026.0488.05
IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=102021.1088.04
NoisyTuneBackbone=ViT-base, Imbalance Ratio=1002026.0487.88
MWN + SAMAIF=10, Backbone=ResNet-322026.0387.6
MWN + T1-T2IF=10, Backbone=ResNet-322026.0387.5
CBBackbone=ResNet-32, Imbalance Ratio (p)=102021.1087.49
LDAMBackbone=ResNet-32, Imbalance Ratio (p)=102021.1086.96
FocalBackbone=ResNet-32, Imbalance Ratio (p)=102021.1086.66
PCGradBackbone=ViT-base, Imbalance Ratio=1002026.0486.63
Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=102021.1086.49
Base ModelIF=10, Backbone=ResNet-322026.0386.1
Focal LossIF=10, Backbone=ResNet-322026.0385.9
IBBackbone=ResNet-32, Imbalance Ratio (p)=202021.1085.8
MWN + KFACIF=20, Backbone=ResNet-322026.0385.6
IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=202021.1085.42
MWN + SAMAIF=20, Backbone=ResNet-322026.0385.4
IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=202021.1085.31
MWN + T1-T2IF=20, Backbone=ResNet-322026.0384.8
CBBackbone=ResNet-32, Imbalance Ratio (p)=202021.1084.36
FocalBackbone=ResNet-32, Imbalance Ratio (p)=202021.1082.76
Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=202021.1082.43
Base ModelIF=200, Backbone=ResNet-322026.0381.8
IBBackbone=ResNet-32, Imbalance Ratio (p)=502021.1081.7
IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=502021.1081.54
IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=502021.1081.51
Focal LossIF=20, Backbone=ResNet-322026.0381.5
IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=1002021.1079.76
MWN + SAMAIF=50, Backbone=ResNet-322026.0379.5
CBBackbone=ResNet-32, Imbalance Ratio (p)=502021.1079.27
MWN + KFACIF=50, Backbone=ResNet-322026.0378.9
MWN + T1-T2IF=50, Backbone=ResNet-322026.0378.6
IBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.1078.26
Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=502021.1078.22
IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.1078.04
LDAM-DRWBackbone=ResNet-32, Imbalance Ratio (p)=1002021.1077.03
FocalBackbone=ResNet-32, Imbalance Ratio (p)=502021.1076.71
IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=2002021.1075.05
CBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.1074.57
Focal LossIF=50, Backbone=ResNet-322026.0374.3
Base ModelIF=50, Backbone=ResNet-322026.0374.2
IBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.1073.96
IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.1073.69
LDAMBackbone=ResNet-32, Imbalance Ratio (p)=1002021.1073.35
MWN + KFACIF=100, Backbone=ResNet-322026.0373.1
MWN + SAMAIF=100, Backbone=ResNet-322026.0372.9
MWN + T1-T2IF=100, Backbone=ResNet-322026.0372.8
Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=1002021.1070.87
FocalBackbone=ResNet-32, Imbalance Ratio (p)=1002021.1070.38
Base ModelIF=100, Backbone=ResNet-322026.0370
Focal LossIF=100, Backbone=ResNet-322026.0369.9
CBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.1068.89
MWN + KFACIF=200, Backbone=ResNet-322026.0367
MWN + T1-T2IF=200, Backbone=ResNet-322026.0366.3
MWN + SAMAIF=200, Backbone=ResNet-322026.0366.3
Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=2002021.1066.28
Base ModelIF=200, Backbone=ResNet-322026.0365.3
FocalBackbone=ResNet-32, Imbalance Ratio (p)=2002021.1065.29
Focal LossIF=200, Backbone=ResNet-322026.0365.2