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Partial Label Learning on MNIST

Partial Label Learning on MNIST

99.28AccuracyPOP

Updated 8mo ago

Evaluation results

Method	Links
POP2023.05		99.28
ILL2023.05		99.19
VALEN2023.05		99.03
RCR2023.05		98.81
PICO2023.05		98.76

State-of-the-art paper

POP

Progressive Purification for Instance-Dependent Partial Label Learning

Dataset

MNIST

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Related benchmarks

Image Classification on CIFAR-10 l=50000 (test)Image Classification on CIFAR-100 l=50000 (test)Noisy Label Learning on CIFAR-10 Noisy Label Learning on CIFAR-100 Partial Label Learning on CIFAR-10

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