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Long-tail recognition on ImageNet-LT

78.9AccuracyNAO-centroid
40.10850.17960.2570.321Jul 26, 2021Nov 17, 2021Mar 12, 2022Jul 5, 2022Oct 27, 2022Feb 19, 2023Jun 14, 2023
Updated 8mo ago

Evaluation results

MethodLinks
NAO-centroidbackbone=ResNet-502023.0678.9
SeedSelectbackbone=ResNet-50, pre-trained on external datasets=true2023.0674.9
VL-LTRbackbone=ResNet-50, finetuned foundation models=true2023.0670.1
PaCoBackbone=ResNeXt-101, RandAugment=true, Training Epochs=4002021.0760
PaCoBackbone=ResNeXt-50, RandAugment=true, Training Epochs=4002021.0758.2
Balanced SoftmaxBackbone=ResNeXt-101, RandAugment=true, Training Epochs=4002021.0758
Decouple-τ-normBackbone=ResNeXt-101, RandAugment=true, Training Epochs=4002021.0757.9
DRAGONbackbone=ResNet-50, multi-modal (class labels)=true2023.0657
PaCoBackbone=ResNet-50, RandAugment=true, Training Epochs=4002021.0757
Stable Diffusionbackbone=ResNet-50, pre-trained on external datasets=true2023.0656.4
Balanced SoftmaxBackbone=ResNeXt-50, RandAugment=true, Training Epochs=4002021.0756.2
Decouple-τ-normBackbone=ResNeXt-50, RandAugment=true, Training Epochs=4002021.0756
Ridebackbone=ResNet-502023.0655.4
Balanced SoftmaxBackbone=ResNet-50, RandAugment=true, Training Epochs=4002021.0755
Decouple-τ-normBackbone=ResNet-50, RandAugment=true, Training Epochs=4002021.0754.5
ResLTBackbone=ResNeXt-101, RandAugment=false2021.0754.1
DRO-LTbackbone=ResNet-502023.0653.5
PaCObackbone=ResNet-502023.0653.5
De-confound-TDEBackbone=ResNeXt-101, RandAugment=false2021.0753.3
ResLTBackbone=ResNeXt-50, RandAugment=false2021.0752.9
MISLASBackbone=ResNet-50, RandAugment=false2021.0752.7
De-confound-TDEBackbone=ResNeXt-50, RandAugment=false2021.0751.8
De-confound-TDEBackbone=ResNet-50, RandAugment=false2021.0751.7
Decouple-cRTBackbone=ResNeXt-50, RandAugment=false2021.0749.6
Decouple-τ-normBackbone=ResNeXt-101, RandAugment=false2021.0749.6
Decouple-τ-normBackbone=ResNeXt-50, RandAugment=false2021.0749.4
Decouple-cRTBackbone=ResNeXt-101, RandAugment=false2021.0749.1
CB LWSbackbone=ResNet-502023.0647.7
MetaSAugbackbone=ResNet-502023.0647.4
smDragonbackbone=ResNet-502023.0647.4
Decouple-cRTBackbone=ResNet-50, RandAugment=false2021.0747.3
Decouple-τ-normBackbone=ResNet-50, RandAugment=false2021.0746.7
CE(baseline)Backbone=ResNeXt-101, RandAugment=false2021.0744.8
CE(baseline)Backbone=ResNeXt-50, RandAugment=false2021.0744.4
CEbackbone=ResNet-502023.0641.6
CE(baseline)Backbone=ResNet-50, RandAugment=false2021.0741.6