Image Classification on CIFAR-100 Asymmetric Noisy Labels, r=0.3 (test)
65.8AccuracyIMAE
Evaluation results
| Method | Links | |
|---|---|---|
| IMAEBackbone=ResNet44, Implementation Source=Our trained2019.03 | 65.8 | |
| SLBackbone=ResNet44, Implementation Source=Wang et al. (2019d)2019.03 | 65.1 | |
| CCEBackbone=ResNet44, Implementation Source=Our trained2019.03 | 64.7 | |
| ForwardBackbone=ResNet44, Implementation Source=Wang et al. (2019d)2019.03 | 64 | |
| BootstrapBackbone=ResNet44, Implementation Source=Wang et al. (2019d)2019.03 | 63.2 | |
| D2LBackbone=ResNet44, Implementation Source=Wang et al. (2019d)2019.03 | 63.2 | |
| GCEBackbone=ResNet44, Implementation Source=Wang et al. (2019d)2019.03 | 63.2 | |
| CCEBackbone=ResNet44, Implementation Source=Wang et al. (2019d)2019.03 | 63.1 | |
| LSBackbone=ResNet44, Implementation Source=Wang et al. (2019d)2019.03 | 62.3 | |
| MAEBackbone=ResNet44, Implementation Source=Our trained2019.03 | 6.3 |