Image Classification on CIFAR-10 40% symmetric noise (test)
95.37AccuracyFaMUS
Evaluation Results
| Method | Links | |
|---|---|---|
| FaMUSBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 95.37 | |
| DivideMixBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 94.9 | |
| MentorMixBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 94.2 | |
| M-correctionBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 92.8 | |
| MixupBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 91.5 | |
| MentorNetBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 91.2 | |
| MW-NetBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 89.6 | |
| L2RBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 86.92 | |
| NLSSmooth Rate=-6.02021.06 | 84.52 | |
| NLSSmooth Rate=-4.02021.06 | 84.34 | |
| NLSSmooth Rate=-2.02021.06 | 83.64 | |
| Label SmoothingSmooth Rate=0.62021.06 | 82.11 | |
| NLSSmooth Rate=-1.02021.06 | 81.95 | |
| NLSSmooth Rate=-0.42021.06 | 81.58 | |
| NLSSmooth Rate=-0.82021.06 | 81.56 | |
| Label SmoothingSmooth Rate=0.42021.06 | 81.5 | |
| Label SmoothingSmooth Rate=0.82021.06 | 81.48 | |
| Hard LabelSmooth Rate=0.02021.06 | 80.42 | |
| Co-teachingBackbone=PreAct ResNet-18, Noise Type=Symmetric, Noise Rate=40%2021.04 | 74.81 |