Image Classification on CIFAR-100 LT Imbalance Ratio 10 (test)
91.3AccuracyLIFT
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 | 91.3 | — | |
| LPTBackbone=ViT-B/16, Learnable Params.=1.01M, Epochs=40+40, Training Protocol=Fine-tuning pre-trained model from ImageNet-21K2023.09 | 91 | — | |
| LIFT w/ TTEBackbone=ViT-B/16, Learnable Params.=0.10M, Epochs=10, Training Protocol=Fine-tuning pre-trained model2023.09 | 84.9 | — | |
| LIFTBackbone=ViT-B/16, Learnable Params.=0.10M, Epochs=10, Training Protocol=Fine-tuning pre-trained model2023.09 | 83.8 | — | |
| Meta-SuperDisco2023.03 | 69.3 | — | |
| LiVTBackbone=ViT-B/16, Learnable Params.=85.80M, Epochs=100, Training Protocol=Fine-tuning pre-trained model2023.09 | 69.2 | — | |
| Alshammari et al.Venue=CVPR 222023.03 | 68.8 | — | |
| Zhu et al.Venue=CVPR 222023.03 | 64.9 | — | |
| BCLBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 64.9 | — | |
| Cui et al.Venue=ICCV 212023.03 | 64.2 | — | |
| PaCoBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=400, Training Protocol=Training from scratch2023.09 | 64.2 | — | |
| Samuel et al.Venue=ICCV 212023.03 | 63.4 | — | |
| MiSLASBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200+10, Training Protocol=Training from scratch2023.09 | 63.2 | — | |
| BSBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=400, Training Protocol=Training from scratch2023.09 | 63 | — | |
| Zhong et al.Venue=CVPR 212023.03 | 62.5 | — | |
| Li et al.Venue=CVPR 212023.03 | 62.3 | — | |
| DiVEBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 62 | — | |
| Wang et al.Venue=ICLR 212023.03 | 61.8 | — | |
| CBD + TailCalibXType=Ours2021.11 | 61.13 | — | |
| ABSGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 61.12 | — | |
| CBDType=Distillation, re-implementation=true2021.11 | 60.85 | — | |
| ABSGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 60.77 | — | |
| ABSGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 59.75 | — | |
| CosineCE + TailCalibXType=Ours2021.11 | 59.73 | — | |
| GBMType=Loss or Re-weighting2021.11 | 59.6 | — | |
| META (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 59.59 | — | |
| META (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 59.58 | — | |
| Domain AdaptationType=Loss or Re-weighting2021.11 | 59.58 | — | |
| Park et al.Venue=ICCV 212023.03 | 59.5 | — | |
| SGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 59.46 | — | |
| ABSGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 59.21 | — | |
| ABSGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 59.14 | — | |
| BBNType=Decouple2021.11 | 59.12 | — | |
| BBNBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 59.1 | — | |
| Meta Weight NetType=Loss or Re-weighting2021.11 | 58.91 | — | |
| META (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 58.8 | — | |
| ABSGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 58.74 | — | |
| SGD (CB-LDAM)Backbone=ResNet32, Loss Function=CB-LDAM2020.12 | 58.71 | — | |
| LDAM-DRWType=Loss or Re-weighting2021.11 | 58.71 | — | |
| LDAMBackbone=ResNet-32, Learnable Params.=0.46M, Epochs=200, Training Protocol=Training from scratch2023.09 | 58.7 | — | |
| CosineCE + TailCalibType=Ours2021.11 | 58.6 | — | |
| CosineCEType=Baseline, re-implementation=true2021.11 | 58.58 | — | |
| MODALSType=Generation, re-implementation=true2021.11 | 58.53 | — | |
| M2MType=Generation2021.11 | 58.2 | — | |
| mixupType=Generation2021.11 | 58.02 | — | |
| SGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 57.99 | — | |
| Class-Balanced FocalType=Loss or Re-weighting2021.11 | 57.99 | — | |
| CRTType=Decouple, re-implementation=true2021.11 | 57.61 | — | |
| SGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 57.56 | — | |
| CEType=Baseline, re-implementation=true2021.11 | 57 | — | |
| ResamplingBackbone=ResNet32, Loss Function=CE2020.12 | 56.92 | — | |
| SGD (LDAM)Backbone=ResNet32, Loss Function=LDAM2020.12 | 56.91 | — | |
| Manifold mixupType=Generation2021.11 | 56.55 | — | |
| SGD (LDAM)Backbone=ResNet32, Loss Function=LDAM2020.12 | 56.27 | — | |
| Focal LossType=Loss or Re-weighting2021.11 | 55.78 | — | |
| ResamplingBackbone=ResNet32, Loss Function=CE2020.12 | 54.35 | — | |
| SGD (CB-CE)Backbone=ResNet32, Loss Function=CB-CE2020.12 | 53.39 | — | |
| L2RWType=Loss or Re-weighting2021.11 | 52.12 | — | |
| SGD (CB-Focal)Backbone=ResNet32, Loss Function=CB-Focal2020.12 | 50.02 | — | |
| CB-CEBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 57.1 | |
| CB-FocalBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 58 | |
| CEBackbone=ResNet-32, Reproduced=true2021.04 | — | 55.71 | |
| CEBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 55.7 | |
| CE-DRSBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 56.1 | |
| CE-DRWBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 56.2 | |
| cRTBackbone=ResNet-32, Reproduced=true2021.04 | — | 57.93 | |
| DRO-LTBackbone=ResNet-32, Radius Config=ε = 0 (ERM)2021.04 | — | 59.54 | |
| DRO-LTBackbone=ResNet-32, Radius Config=Shared ε2021.04 | — | 61.22 | |
| DRO-LTBackbone=ResNet-32, Radius Config=ε/√n2021.04 | — | 63.1 | |
| DRO-LTBackbone=ResNet-32, Radius Config=Learned ε2021.04 | — | 63.41 | |
| FocalBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 55.8 | |
| Focal LossBackbone=ResNet-322021.04 | — | 55.78 | |
| KCL†Backbone=ResNet-32, Imbalance Ratio=102021.11 | — | 57.6 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 56.9 | |
| LDAM LossBackbone=ResNet-322021.04 | — | 56.91 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 58.7 | |
| M2m-ERMBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 58.2 | |
| M2m-LDAMBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 57.6 | |
| ReSampleBackbone=ResNet-322021.04 | — | 55.06 | |
| ReWeightBackbone=ResNet-322021.04 | — | 57.12 | |
| smDRAGONBackbone=ResNet-322021.04 | — | 58.01 | |
| SSLBackbone=ResNet-32, Reproduced=true2021.04 | — | 56.7 | |
| SSPBackbone=ResNet-322021.04 | — | 58.91 | |
| TSCBackbone=ResNet-32, Imbalance Ratio=102021.11 | — | 59 | |
| τ-normBackbone=ResNet-32, Reproduced=true2021.04 | — | 57.06 |