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Image Classification on CIFAR-10 Long-Tailed (rho=50) (test)

89.8Top-1 AccuracyDeiT-LT
67.33673.1687984.832Apr 3, 2024Aug 10, 2024Dec 17, 2024Apr 25, 2025Sep 1, 2025Jan 8, 2026May 18, 2026

Evaluation results

MethodLinks
DeiT-LTBackbone=ViT-B, Teacher=PaCo+SAM2024.0489.8—
PaCo+SAMBackbone=ResNet322024.0488.6—
DeiT-LTBackbone=ViT-B, Teacher=L-D-SAM2024.0487.5—
MISLASBackbone=ResNet322024.0485.7—
GCLBackbone=ResNet322024.0485.5—
Hybrid-SCBackbone=ResNet322024.0485.4—
ACEBackbone=ResNet322024.0484.9—
L-D-SAMBackbone=ResNet322024.0484.8—
CAMBackbone=ResNet322024.0483.6—
Teacher(CE)2026.0582.72—
BiKD2026.0582.45—
LDAM+DAPBackbone=ResNet322024.0482.2—
BBNBackbone=ResNet322024.0482.2—
BKD2026.0581.67—
DiVE2026.0580.79—
LFME2026.0580.28—
CCKD2026.0579.74—
CB Focal lossBackbone=ResNet322024.0479.3—
LDAM+DRWBackbone=ResNet322024.0479.3—
RWKD2026.0578.97—
Student(CE)2026.0578.32—
DeiTBackbone=ViT-B2024.0477.5—
KD2026.0577.27—
WSL2026.0576.87—
ViT (cRT)Backbone=ViT-B2024.0474.5—
ViTBackbone=ViT-B2024.0470.1—
DeiT-IIIBackbone=ViT-B2024.0468.2—
A-EncoderBackbone=ResNet-32, Learning Protocol=ERM, Imbalance Ratio (rho)=502021.06—23.76
ERMBackbone=ResNet-32, RSG=false2021.06—25.19
ERMBackbone=ResNet-32, RSG=true2021.06—20.25
ERM-RSGBackbone=ResNet-32, Learning Protocol=ERM, Imbalance Ratio (rho)=502021.06—20.25
Focal LossBackbone=ResNet-32, RSG=false2021.06—23.28
Focal LossBackbone=ResNet-32, RSG=true2021.06—21.58
FTLBackbone=ResNet-32, Learning Protocol=ERM, Imbalance Ratio (rho)=502021.06—23.56
ImaginaryBackbone=ResNet-32, Learning Protocol=ERM, Imbalance Ratio (rho)=502021.06—23.99
LDAM-DRWBackbone=ResNet-32, RSG=false2021.06—18.97
LDAM-DRWBackbone=ResNet-32, RSG=true2021.06—17.2
M-DRWBackbone=ResNet-32, RSG=false2021.06—20.44
M-DRWBackbone=ResNet-32, RSG=true2021.06—17.72