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Long-tailed Image Classification on ImageNet-LT 1.0 (test)

57.1Top-1 Accuracy (Overall)BCL
33.739.77545.8551.925Mar 17, 2022Apr 6, 2022Apr 27, 2022May 18, 2022Jun 7, 2022Jun 28, 2022Jul 19, 2022

Evaluation results

MethodLinks
BCLTraining Epochs=180, Backbone=ResNext-502022.0757.167.954.236.6
BCLTraining Epochs=90, Backbone=ResNext-502022.0756.767.253.936.5
PaCoTraining Epochs=180, Backbone=ResNext-50, Data Augmentation=RandAug2022.075664.455.733.7
RIDE(2 experts)Training Epochs=90, Backbone=ResNext-502022.0755.9———
Balanced SoftmaxTraining Epochs=180, Backbone=ResNext-50, Data Augmentation=RandAug2022.0755.465.853.234.1
DisAlignTraining Epochs=90, Backbone=ResNext-502022.0753.462.752.131.4
LADETraining Epochs=180, Backbone=ResNext-502022.075365.148.933.4
LADETraining Epochs=90, Backbone=ResNext-502022.0751.962.349.331.2
Casual modelTraining Epochs=90, Backbone=ResNext-502022.0751.862.748.831.6
Balanced SoftmaxTraining Epochs=90, Backbone=ResNext-50, Data Augmentation=RandAug2022.0751.462.248.829.8
LWSTraining Epochs=90, Backbone=ResNext-502022.0749.960.247.230.3
τ-normTraining Epochs=90, Backbone=ResNext-502022.0749.459.146.930.7
ETF Classifier + DRBackbone=ResNet-50, Epoch=1802022.0344.7———
Learnable Classifier + CEBackbone=ResNet-50, Epoch=1802022.0344.3———
ETF Classifier + DRBackbone=ResNet-50, Epoch=1502022.0343.8———
Focal LossTraining Epochs=90, Backbone=ResNext-50, Data Augmentation=RandAug2022.0743.764.337.18.2
ETF Classifier + DRBackbone=ResNet-50, Epoch=1202022.0343.2———
Learnable Classifier + CEBackbone=ResNet-50, Epoch=1502022.0342.5———
Learnable Classifier + CEBackbone=ResNet-50, Epoch=1202022.0341.9———
ETF Classifier + DRBackbone=ResNet-50, Epoch=902022.0341.8———
Learnable Classifier + CEBackbone=ResNet-50, Epoch=902022.0334.6———