Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Benchmark Model Rank Results
image-classification-on-clothing1mCoT#44Accuracy: 70.15%
image-classification-on-mini-webvision-1-0Co-teaching (Inception-ResNet-v2)#31Top-1 Accuracy: 63.58Top-5 Accuracy: 85.20
learning-with-noisy-labels-on-cifar-100nCo-Teaching#10Accuracy (mean): 60.37
learning-with-noisy-labels-on-cifar-10nCo-Teaching#17Accuracy (mean): 91.20
learning-with-noisy-labels-on-cifar-10n-1Co-Teaching#11Accuracy (mean): 90.33
learning-with-noisy-labels-on-cifar-10n-2Co-Teaching#11Accuracy (mean): 90.30
learning-with-noisy-labels-on-cifar-10n-3Co-Teaching#9Accuracy (mean): 90.15
learning-with-noisy-labels-on-cifar-10n-worstCo-Teaching#11Accuracy (mean): 83.83