Are Anchor Points Really Indispensable in Label-Noise Learning?

Benchmark Model Rank Results
learning-with-noisy-labels-on-cifar-100nT-Revision#22Accuracy (mean): 51.55
learning-with-noisy-labels-on-cifar-10nT-Revision#21Accuracy (mean): 88.52
learning-with-noisy-labels-on-cifar-10n-1T-Revision#19Accuracy (mean): 88.33
learning-with-noisy-labels-on-cifar-10n-2T-Revision#18Accuracy (mean): 87.71
learning-with-noisy-labels-on-cifar-10n-3T-Revision#18Accuracy (mean): 87.79
learning-with-noisy-labels-on-cifar-10n-worstT-Revision#21Accuracy (mean): 80.48