Noisy Label Learning on CIFAR-10
96.78AccuracyILL
Evaluation Results
| Method | Links | |
|---|---|---|
| ILLNoise Type=Sym., Noise Ratio η=0.22023.05 | 96.78 | |
| ILLNoise Type=Sym., Noise Ratio η=0.52023.05 | 96.6 | |
| SOPNoise Type=Sym., Noise Ratio η=0.22023.05 | 96.3 | |
| DivideMixNoise Type=Sym., Noise Ratio η=0.22023.05 | 96.1 | |
| ELRNoise Type=Sym., Noise Ratio η=0.22023.05 | 95.8 | |
| SOPNoise Type=Sym., Noise Ratio η=0.52023.05 | 95.5 | |
| ELRNoise Type=Sym., Noise Ratio η=0.52023.05 | 94.8 | |
| ILLNoise Type=Asym., Noise Ratio η=0.42023.05 | 94.75 | |
| DivideMixNoise Type=Sym., Noise Ratio η=0.52023.05 | 94.6 | |
| ILLNoise Type=Sym., Noise Ratio η=0.82023.05 | 94.31 | |
| SOPNoise Type=Sym., Noise Ratio η=0.82023.05 | 94 | |
| SOPNoise Type=Asym., Noise Ratio η=0.42023.05 | 93.8 | |
| FastBUSRatio=0.32026.02 | 93.58 | |
| MixupNoise Type=Sym., Noise Ratio η=0.22023.05 | 93.5 | |
| DivideMixNoise Type=Asym., Noise Ratio η=0.42023.05 | 93.4 | |
| ELRNoise Type=Sym., Noise Ratio η=0.82023.05 | 93.3 | |
| DivideMixNoise Type=Sym., Noise Ratio η=0.82023.05 | 93.2 | |
| SOPRatio=0.32026.02 | 93.15 | |
| ELRNoise Type=Asym., Noise Ratio η=0.42023.05 | 93 | |
| ELRRatio=0.32026.02 | 92.73 | |
| DivideMixRatio=0.32026.02 | 92.52 | |
| FastBUSRatio=0.72026.02 | 92.24 | |
| ELRRatio=0.72026.02 | 91.28 | |
| SOPRatio=0.72026.02 | 91.14 | |
| DivideMixRatio=0.72026.02 | 90.75 | |
| MixupNoise Type=Sym., Noise Ratio η=0.52023.05 | 87.9 | |
| CENoise Type=Sym., Noise Ratio η=0.22023.05 | 87.2 | |
| CENoise Type=Asym., Noise Ratio η=0.42023.05 | 82.2 | |
| CENoise Type=Sym., Noise Ratio η=0.52023.05 | 80.7 | |
| MixupNoise Type=Sym., Noise Ratio η=0.82023.05 | 72.3 | |
| CENoise Type=Sym., Noise Ratio η=0.82023.05 | 65.8 |