Image Classification on CIFAR10 original and noisy labels (test)
93.8Top-1 AccSS
Evaluation results
| Method | Links | |
|---|---|---|
| SSNoise Rate=0, Backbone=ResNet182024.10 | 93.8 | |
| REEDNoise Rate=0, Backbone=ResNet182024.10 | 93.4 | |
| MNNoise Rate=0, Backbone=ResNet182024.10 | 93.4 | |
| BaselineNoise Rate=0, Backbone=ResNet182024.10 | 93.3 | |
| LRNoise Rate=0, Backbone=ResNet182024.10 | 93.2 | |
| SSNoise Rate=0.1, Backbone=ResNet182024.10 | 91.7 | |
| LRNoise Rate=0.1, Backbone=ResNet182024.10 | 91 | |
| SSNoise Rate=0.2, Backbone=ResNet182024.10 | 90.4 | |
| MNNoise Rate=0.1, Backbone=ResNet182024.10 | 90.3 | |
| SSNoise Rate=0.3, Backbone=ResNet182024.10 | 89.7 | |
| REEDNoise Rate=0.1, Backbone=ResNet182024.10 | 89.4 | |
| LRNoise Rate=0.2, Backbone=ResNet182024.10 | 89.2 | |
| BaselineNoise Rate=0.1, Backbone=ResNet182024.10 | 88.9 | |
| LRNoise Rate=0.3, Backbone=ResNet182024.10 | 88.5 | |
| SSNoise Rate=0.4, Backbone=ResNet182024.10 | 88 | |
| LRNoise Rate=0.4, Backbone=ResNet182024.10 | 86.9 | |
| MNNoise Rate=0.2, Backbone=ResNet182024.10 | 86.1 | |
| MNNoise Rate=0.3, Backbone=ResNet182024.10 | 83.6 | |
| REEDNoise Rate=0.2, Backbone=ResNet182024.10 | 83.4 | |
| BaselineNoise Rate=0.2, Backbone=ResNet182024.10 | 81.8 | |
| REEDNoise Rate=0.3, Backbone=ResNet182024.10 | 77.4 | |
| MNNoise Rate=0.4, Backbone=ResNet182024.10 | 76.6 | |
| BaselineNoise Rate=0.3, Backbone=ResNet182024.10 | 74.7 | |
| REEDNoise Rate=0.4, Backbone=ResNet182024.10 | 68.6 | |
| BaselineNoise Rate=0.4, Backbone=ResNet182024.10 | 64.9 |