Combating noisy labels by agreement: A joint training method with co-regularization

Benchmark Model Rank Results
image-classification-on-clothing1mJoCoR#43Accuracy: 70.3%
learning-with-noisy-labels-on-cifar-100nJoCoR#11Accuracy (mean): 59.97
learning-with-noisy-labels-on-cifar-10nJoCoR#15Accuracy (mean): 91.44
learning-with-noisy-labels-on-cifar-10n-1JoCoR#12Accuracy (mean): 90.30
learning-with-noisy-labels-on-cifar-10n-2JoCoR#12Accuracy (mean): 90.21
learning-with-noisy-labels-on-cifar-10n-3JoCoR#11Accuracy (mean): 90.11
learning-with-noisy-labels-on-cifar-10n-worstJoCoR#14Accuracy (mean): 83.37