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Image Classification on CIFAR-100-LT Imbalance Factor 50

58.1AccuracyGML loss
43.74847.47451.254.926May 2, 2023

Evaluation results

MethodLinks
GML lossEpochs=400, Backbone=ResNet-322023.0558.1
GML lossEpochs=200, Backbone=ResNet-322023.0557.6
BCLEpochs=200, Backbone=ResNet-322023.0556.6
PaCoEpochs=400, Backbone=ResNet-322023.0556
Balanced SoftmaxEpochs=400, Backbone=ResNet-322023.0554.2
ResLTEpochs=200, Backbone=ResNet-322023.0552.7
MetaSAug-LDAMEpochs=200, Backbone=ResNet-322023.0552.3
MISLASEpochs=400, Backbone=ResNet-322023.0552.3
Hybrid-SCEpochs=200, Backbone=ResNet-322023.0551.8
Casual modelEpochs=200, Backbone=ResNet-322023.0550.3
SSPEpochs=200, Backbone=ResNet-322023.0547.1
BBNEpochs=200, Backbone=ResNet-322023.0547
LDAM-DRWEpochs=200, Backbone=ResNet-322023.0546.6
CB-FocalEpochs=200, Backbone=ResNet-322023.0545.2
Focal lossEpochs=200, Backbone=ResNet-322023.0544.3