Image Classification on CIFAR-100 Imbalance Ratio LT-50 (test)
90.2AccuracyLIFT
Evaluation Results
| Method | Links | |
|---|---|---|
| LIFTBackbone=ViT-B/16, Learnable Params.=0.10M, Epochs=10, Training Protocol=Fine-tuning pre-trained model from ImageNet-21K2023.09 | 90.2 | |
| LPTBackbone=ViT-B/16, Learnable Params.=1.01M, Epochs=40+40, Training Protocol=Fine-tuning pre-trained model from ImageNet-21K2023.09 | 90 | |
| LIFT w/ TTEBackbone=ViT-B/16, Learnable Params.=0.10M, Epochs=10, Training Protocol=Fine-tuning pre-trained model2023.09 | 83.1 | |
| LIFTBackbone=ViT-B/16, Learnable Params.=0.10M, Epochs=10, Training Protocol=Fine-tuning pre-trained model2023.09 | 82 | |
| Meta-SuperDisco2023.03 | 58.3 | |
| Alshammari et al.Venue=CVPR 222023.03 | 57.7 | |
| Samuel et al.Venue=ICCV 212023.03 | 57.6 | |
| DRO-LTBackbone=ResNet-32, Radius Config=Learned ε2021.04 | 57.57 | |
| DRO-LTBackbone=ResNet-32, Radius Config=ε/√n2021.04 | 57.2 | |
| BS + CMOBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 56.7 | |
| Zhu et al.Venue=CVPR 222023.03 | 56.6 | |
| BCLBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 56.6 | |
| Cui et al.Venue=ICCV 212023.03 | 56 | |
| PaCoBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 56 | |
| PaCoBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=400, Training Protocol=Training from scratch2023.09 | 56 | |
| DRO-LTBackbone=ResNet-32, Radius Config=Shared ε2021.04 | 55.32 | |
| BSBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 54.2 | |
| BSBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=400, Training Protocol=Training from scratch2023.09 | 54.2 | |
| DRO-LTBackbone=ResNet-32, Radius Config=ε = 0 (ERM)2021.04 | 52.31 | |
| MiSLASBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200+10, Training Protocol=Training from scratch2023.09 | 52.3 | |
| Wang et al.Venue=ICLR 212023.03 | 51.7 | |
| Zhong et al.Venue=CVPR 212023.03 | 51.5 | |
| DiVEBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 51.1 | |
| CBD + TailCalibXType=Ours2021.11 | 50.9 | |
| Li et al.Venue=CVPR 212023.03 | 50.5 | |
| GBMType=Loss or Re-weighting2021.11 | 50.3 | |
| CosineCE + TailCalibXType=Ours2021.11 | 49.8 | |
| CBDType=Distillation, re-implementation=true2021.11 | 49.19 | |
| CosineCE + TailCalibType=Ours2021.11 | 49.18 | |
| Domain AdaptationType=Loss or Re-weighting2021.11 | 48.53 | |
| MODALSType=Generation, re-implementation=true2021.11 | 47.57 | |
| Park et al.Venue=ICCV 212023.03 | 47.4 | |
| TSCBackbone=ResNet-32, Imbalance Ratio=502021.11 | 47.4 | |
| CRTType=Decouple, re-implementation=true2021.11 | 47.26 | |
| SSPBackbone=ResNet-322021.04 | 47.11 | |
| BBNType=Decouple2021.11 | 47.02 | |
| BBNBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 47 | |
| smDRAGONBackbone=ResNet-322021.04 | 46.85 | |
| cRTBackbone=ResNet-32, Reproduced=true2021.04 | 46.83 | |
| L2RWType=Loss or Re-weighting2021.11 | 46.83 | |
| τ-normBackbone=ResNet-32, Reproduced=true2021.04 | 46.74 | |
| LDAMBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 46.6 | |
| KCL†Backbone=ResNet-32, Imbalance Ratio=502021.11 | 46.3 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio=502021.11 | 46.2 | |
| CosineCEType=Baseline, re-implementation=true2021.11 | 45.72 | |
| Meta Weight NetType=Loss or Re-weighting2021.11 | 45.66 | |
| Class-Balanced FocalType=Loss or Re-weighting2021.11 | 45.32 | |
| CB-FocalBackbone=ResNet-32, Imbalance Ratio=502021.11 | 45.2 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio=502021.11 | 45 | |
| mixupType=Generation2021.11 | 44.99 | |
| LDAM LossBackbone=ResNet-322021.04 | 44.97 | |
| CEType=Baseline, re-implementation=true2021.11 | 44.88 | |
| CE-DRWBackbone=ResNet-32, Imbalance Ratio=502021.11 | 44.7 | |
| CB-CEBackbone=ResNet-32, Imbalance Ratio=502021.11 | 44.6 | |
| CE-DRSBackbone=ResNet-32, Imbalance Ratio=502021.11 | 44.5 | |
| Focal LossBackbone=ResNet-322021.04 | 44.32 | |
| Focal LossType=Loss or Re-weighting2021.11 | 44.32 | |
| FocalBackbone=ResNet-32, Imbalance Ratio=502021.11 | 44.3 | |
| SSLBackbone=ResNet-32, Reproduced=true2021.04 | 44.02 | |
| CEBackbone=ResNet-32, Imbalance Ratio=502021.11 | 43.9 | |
| CEBackbone=ResNet-32, Reproduced=true2021.04 | 43.85 | |
| Manifold mixupType=Generation2021.11 | 43.09 |