Image Classification on CIFAR-10 Long-Tailed
97.27AccuracyLNSR
Evaluation Results
| Method | Links | |
|---|---|---|
| LNSRBackbone=ViT-base, Imbalance Ratio=502026.04 | 97.27 | |
| DSGDBackbone=ViT-base, Imbalance Ratio=502026.04 | 97.15 | |
| PCGradBackbone=ViT-base, Imbalance Ratio=502026.04 | 96.85 | |
| FFTBackbone=ViT-base, Imbalance Ratio=502026.04 | 96.46 | |
| FocalLossBackbone=ViT-base, Imbalance Ratio=502026.04 | 95.29 | |
| FocalLossBackbone=ViT-base, Imbalance Ratio=1002026.04 | 89.32 | |
| DSGDBackbone=ViT-base, Imbalance Ratio=1002026.04 | 89.23 | |
| NoisyTuneBackbone=ViT-base, Imbalance Ratio=502026.04 | 88.94 | |
| FFTBackbone=ViT-base, Imbalance Ratio=1002026.04 | 88.47 | |
| MWN + KFACIF=10, Backbone=ResNet-322026.03 | 88.4 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 88.25 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 88.16 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 88.09 | |
| LNSRBackbone=ViT-base, Imbalance Ratio=1002026.04 | 88.05 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 88.04 | |
| NoisyTuneBackbone=ViT-base, Imbalance Ratio=1002026.04 | 87.88 | |
| MWN + SAMAIF=10, Backbone=ResNet-322026.03 | 87.6 | |
| MWN + T1-T2IF=10, Backbone=ResNet-322026.03 | 87.5 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 87.49 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 86.96 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 86.66 | |
| PCGradBackbone=ViT-base, Imbalance Ratio=1002026.04 | 86.63 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 86.49 | |
| Base ModelIF=10, Backbone=ResNet-322026.03 | 86.1 | |
| Focal LossIF=10, Backbone=ResNet-322026.03 | 85.9 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 85.8 | |
| MWN + KFACIF=20, Backbone=ResNet-322026.03 | 85.6 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 85.42 | |
| MWN + SAMAIF=20, Backbone=ResNet-322026.03 | 85.4 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 85.31 | |
| MWN + T1-T2IF=20, Backbone=ResNet-322026.03 | 84.8 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 84.36 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 82.76 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 82.43 | |
| Base ModelIF=200, Backbone=ResNet-322026.03 | 81.8 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 81.7 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 81.54 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 81.51 | |
| Focal LossIF=20, Backbone=ResNet-322026.03 | 81.5 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 79.76 | |
| MWN + SAMAIF=50, Backbone=ResNet-322026.03 | 79.5 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 79.27 | |
| MWN + KFACIF=50, Backbone=ResNet-322026.03 | 78.9 | |
| MWN + T1-T2IF=50, Backbone=ResNet-322026.03 | 78.6 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 78.26 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 78.22 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 78.04 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 77.03 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 76.71 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 75.05 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 74.57 | |
| Focal LossIF=50, Backbone=ResNet-322026.03 | 74.3 | |
| Base ModelIF=50, Backbone=ResNet-322026.03 | 74.2 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 73.96 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 73.69 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 73.35 | |
| MWN + KFACIF=100, Backbone=ResNet-322026.03 | 73.1 | |
| MWN + SAMAIF=100, Backbone=ResNet-322026.03 | 72.9 | |
| MWN + T1-T2IF=100, Backbone=ResNet-322026.03 | 72.8 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 70.87 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 70.38 | |
| Base ModelIF=100, Backbone=ResNet-322026.03 | 70 | |
| Focal LossIF=100, Backbone=ResNet-322026.03 | 69.9 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 68.89 | |
| MWN + KFACIF=200, Backbone=ResNet-322026.03 | 67 | |
| MWN + T1-T2IF=200, Backbone=ResNet-322026.03 | 66.3 | |
| MWN + SAMAIF=200, Backbone=ResNet-322026.03 | 66.3 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 66.28 | |
| Base ModelIF=200, Backbone=ResNet-322026.03 | 65.3 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 65.29 | |
| Focal LossIF=200, Backbone=ResNet-322026.03 | 65.2 |