Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations

Benchmark Model Rank Results
learning-with-noisy-labels-on-cifar-100nILL#7Accuracy (mean): 65.84
learning-with-noisy-labels-on-cifar-10nILL#5Accuracy (mean): 95.47
learning-with-noisy-labels-on-cifar-10n-1ILL#5Accuracy (mean): 94.85
learning-with-noisy-labels-on-cifar-10n-2ILL#3Accuracy (mean): 95.04
learning-with-noisy-labels-on-cifar-10n-3ILL#3Accuracy (mean): 95.13
learning-with-noisy-labels-on-cifar-10n-worstILL#4Accuracy (mean): 93.58
learning-with-noisy-labels-on-clothing1mILL#4Test Accuracy: 74.02