Learning With Noisy Labels On Clothing1M
Metrics
Test Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Test Accuracy |
|---|---|
| imprecise-label-learning-a-unified-framework | 74.02 |
| scalable-penalized-regression-for-noise | 71.16 |
| cross-to-merge-training-with-class-balance | 74.61 |
| knockoffs-spr-clean-sample-selection-in | 75.20 |