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ResearchFormerly WizWand

Image Classification on CIFAR-10-LT Imbalance Ratio 100 (test)

86.8Top-1 AccuracyBalPoE
69.74474.17278.683.028Nov 27, 2021Feb 6, 2022Apr 19, 2022Jun 30, 2022Sep 10, 2022Nov 21, 2022Feb 1, 2023
Updated 8mo ago

Evaluation results

MethodLinks
BalPoEBackbone=ResNet-32, Training Setting=Longer training2022.0686.8
NCLBackbone=ResNet-32, Training Setting=Longer training2022.0685.5
BalPoEBackbone=ResNet-32, Training Setting=Standard2022.0684.2
SADEBackbone=ResNet-32, Training Setting=Standard2022.0683.8
Prototype Classifier2023.0283.7
BSBackbone=ResNet-32, Training Setting=Standard2022.0683.1
WD + WD + Max2023.0282.9
UniMix+BayiasBackbone=ResNet-32, Training Setting=Standard2022.0682.7
DRO-LT2023.0282.6
MISLASBackbone=ResNet-32, Training Setting=Standard2022.0682.1
RIDEBackbone=ResNet-32, Training Setting=Standard2022.0681.6
ACEBackbone=ResNet-32, Training Setting=Standard2022.0681.2
TLCBackbone=ResNet-32, Training Setting=Standard2022.0680.3
NCM2023.0280.1
TSCBackbone=ResNet-32, Imbalance Ratio=1002021.1179.7
M2m-LDAMBackbone=ResNet-32, Imbalance Ratio=1002021.1179.1
WD2023.0278.6
M2m-ERMBackbone=ResNet-32, Imbalance Ratio=1002021.1178.3
KCL†Backbone=ResNet-32, Imbalance Ratio=1002021.1177.6
LDAM-DRWBackbone=ResNet-32, Training Setting=Standard2022.0677.1
LDAM2023.0277.03
LDAM-DRWBackbone=ResNet-32, Imbalance Ratio=1002021.1177
CE-DRWBackbone=ResNet-32, Imbalance Ratio=1002021.1175.1
CB-FocalBackbone=ResNet-32, Imbalance Ratio=1002021.1174.6
CE-DRSBackbone=ResNet-32, Imbalance Ratio=1002021.1174.5
cRT2023.0273.5
LDAMBackbone=ResNet-32, Imbalance Ratio=1002021.1173.4
CB-CEBackbone=ResNet-32, Imbalance Ratio=1002021.1172.4
CE2023.0272.1
CEBackbone=ResNet-32, Training Setting=Standard2022.0671.3
CEBackbone=ResNet-32, Imbalance Ratio=1002021.1170.4
FocalBackbone=ResNet-32, Imbalance Ratio=1002021.1170.4