| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cifar-10-with-noisy | SSR | #2 | Accuracy (under 20% Sym. label noise): 96.74%… |
| image-classification-on-clothing1m | SSR | #11 | Accuracy: 74.91 |
| image-classification-on-mini-webvision-1-0 | SSR | #3 | Top-1 Accuracy: 80.92Top-5 Accuracy: 92.80… |
| learning-with-noisy-labels-on-animal | SSR | #5 | Accuracy: 88.5Network: Vgg19-BNImageNet Pretrained: NO |