| learning-with-noisy-labels-on-cifar-10n-random2 | PSSCL | #1 | Accuracy (mean): 96.21 |
| learning-with-noisy-labels-on-cifar-10n-random3 | PSSCL | #1 | Accuracy (mean): 96.49 |
| learning-with-noisy-labels-on-cifar-10n-aggregate | PSSCL | #2 | Accuracy (mean): 96.41 |
| learning-with-noisy-labels-on-cifar-10n-random1 | PSSCL | #2 | Accuracy (mean): 96.17 |
| learning-with-noisy-labels-on-cifar-10n-worst | PSSCL | #2 | Accuracy (mean): 95.12 |
| learning-with-noisy-labels-on-food-101 | PSSCL | #2 | Accuracy (% ): 86.41 |
| learning-with-noisy-labels-on-cifar-100n | PSSCL | #3 | Accuracy (mean): 72.00 |
| learning-with-noisy-labels-on-animal | PSSCL | #4 | Accuracy: 88.74Network: Vgg19-BNImageNet Pretrained: NO |
| image-classification-on-mini-webvision-1-0 | PSSCL (130 epochs) | #14 | Top-1 Accuracy: 79.56Top-5 Accuracy: 94.84… |
| image-classification-on-mini-webvision-1-0 | PSSCL (120 epochs) | #23 | Top-1 Accuracy: 78.52Top-5 Accuracy: 93.80… |