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ResearchFormerly WizWand

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

91.9Top-1 AccuracyBalPoE
86.07687.58889.190.612Nov 27, 2021Dec 29, 2021Jan 31, 2022Mar 4, 2022Apr 6, 2022May 8, 2022Jun 10, 2022
Updated 8mo ago

Evaluation results

MethodLinks
BalPoEBackbone=ResNet-32, Training Setting=Longer training2022.0691.9
BSBackbone=ResNet-32, Training Setting=Standard2022.0690.9
SADEBackbone=ResNet-32, Training Setting=Standard2022.0690.8
BalPoEBackbone=ResNet-32, Training Setting=Standard2022.0690.2
MISLASBackbone=ResNet-32, Training Setting=Standard2022.0690
RIDEBackbone=ResNet-32, Training Setting=Standard2022.0689.7
UniMix+BayiasBackbone=ResNet-32, Training Setting=Standard2022.0689.7
TSCBackbone=ResNet-32, Imbalance Ratio=102021.1188.7
LDAM-DRWBackbone=ResNet-32, Imbalance Ratio=102021.1188.2
LDAM-DRWBackbone=ResNet-32, Training Setting=Standard2022.0688.2
KCL†Backbone=ResNet-32, Imbalance Ratio=102021.1188
M2m-ERMBackbone=ResNet-32, Imbalance Ratio=102021.1187.9
M2m-LDAMBackbone=ResNet-32, Imbalance Ratio=102021.1187.5
CEBackbone=ResNet-32, Training Setting=Standard2022.0687.2
CB-FocalBackbone=ResNet-32, Imbalance Ratio=102021.1187.1
LDAMBackbone=ResNet-32, Imbalance Ratio=102021.1187
CB-CEBackbone=ResNet-32, Imbalance Ratio=102021.1186.8
FocalBackbone=ResNet-32, Imbalance Ratio=102021.1186.7
CEBackbone=ResNet-32, Imbalance Ratio=102021.1186.4
CE-DRWBackbone=ResNet-32, Imbalance Ratio=102021.1186.4
CE-DRSBackbone=ResNet-32, Imbalance Ratio=102021.1186.3