Image Classification On Red Miniimagenet 60
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| instance-dependent-noisy-label-learning-via | 47.96 |
| propmix-hard-sample-filtering-and | 52.84 |
| faster-meta-update-strategy-for-noise-robust | 45.1 |
| instance-dependent-noisy-label-learning-via | 53.21 |