Learning With Noisy Labels On Clothing1M
Metriken
Test Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | 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 |