Image Classification on CIFAR-100 Long-Tailed
87.9AccuracyLNSR
Evaluation Results
| Method | Links | |
|---|---|---|
| LNSRBackbone=ViT-base, Imbalance Ratio=502026.04 | 87.9 | |
| NoisyTuneBackbone=ViT-base, Imbalance Ratio=502026.04 | 87.89 | |
| DSGDBackbone=ViT-base, Imbalance Ratio=502026.04 | 87.72 | |
| FocalLossBackbone=ViT-base, Imbalance Ratio=502026.04 | 87.2 | |
| PCGradBackbone=ViT-base, Imbalance Ratio=502026.04 | 87.02 | |
| FFTBackbone=ViT-base, Imbalance Ratio=502026.04 | 85.53 | |
| DSGDBackbone=ViT-base, Imbalance Ratio=1002026.04 | 70.33 | |
| FFTBackbone=ViT-base, Imbalance Ratio=1002026.04 | 69.55 | |
| PCGradBackbone=ViT-base, Imbalance Ratio=1002026.04 | 68.13 | |
| NoisyTuneBackbone=ViT-base, Imbalance Ratio=1002026.04 | 68.05 | |
| LNSRBackbone=ViT-base, Imbalance Ratio=1002026.04 | 64.9 | |
| FocalLossBackbone=ViT-base, Imbalance Ratio=1002026.04 | 64.68 | |
| MWN + KFACIF=10, Backbone=ResNet-322026.03 | 60.8 | |
| MWN + SAMAIF=10, Backbone=ResNet-322026.03 | 59.7 | |
| MWN + T1-T2IF=10, Backbone=ResNet-322026.03 | 58.6 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 58.2 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 57.99 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 57.99 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 57.13 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 56.96 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 56.91 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 56.78 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=102021.10 | 55.78 | |
| Focal LossIF=10, Backbone=ResNet-322026.03 | 55.6 | |
| Base ModelIF=10, Backbone=ResNet-322026.03 | 55.5 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 53.28 | |
| MWN + KFACIF=20, Backbone=ResNet-322026.03 | 53.2 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 52.74 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 52.63 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 52.59 | |
| MWN + SAMAIF=20, Backbone=ResNet-322026.03 | 52.5 | |
| MWN + T1-T2IF=20, Backbone=ResNet-322026.03 | 52 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 51.95 | |
| Focal LossIF=20, Backbone=ResNet-322026.03 | 51.8 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=202021.10 | 51.21 | |
| Base ModelIF=20, Backbone=ResNet-322026.03 | 50.7 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 47.49 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 46.22 | |
| MWN + KFACIF=50, Backbone=ResNet-322026.03 | 46.2 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 46.16 | |
| MWN + T1-T2IF=50, Backbone=ResNet-322026.03 | 46 | |
| MWN + SAMAIF=50, Backbone=ResNet-322026.03 | 45.7 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 45.32 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 44.32 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=502021.10 | 43.71 | |
| Focal LossIF=50, Backbone=ResNet-322026.03 | 43.7 | |
| Base ModelIF=50, Backbone=ResNet-322026.03 | 43.4 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 42.14 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 42.06 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 42.04 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 41.31 | |
| MWN + KFACIF=100, Backbone=ResNet-322026.03 | 40.9 | |
| MWN + T1-T2IF=100, Backbone=ResNet-322026.03 | 40.2 | |
| MWN + SAMAIF=100, Backbone=ResNet-322026.03 | 40 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 39.6 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 39.6 | |
| Base ModelIF=100, Backbone=ResNet-322026.03 | 38.5 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 38.41 | |
| Focal LossIF=100, Backbone=ResNet-322026.03 | 38.4 | |
| IB + FocalBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 38.23 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=1002021.10 | 38.05 | |
| IBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 37.31 | |
| IB + CBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 37.06 | |
| CBBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 36.23 | |
| MWN + T1-T2IF=200, Backbone=ResNet-322026.03 | 36 | |
| MWN + SAMAIF=200, Backbone=ResNet-322026.03 | 35.8 | |
| FocalBackbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 35.62 | |
| MWN + KFACIF=200, Backbone=ResNet-322026.03 | 35.6 | |
| Focal LossIF=200, Backbone=ResNet-322026.03 | 34.9 | |
| Base ModelIF=200, Backbone=ResNet-322026.03 | 34.4 | |
| Baseline (CE)Backbone=ResNet-32, Imbalance Ratio (p)=2002021.10 | 33.54 |