Image Classification On Red Miniimagenet 40
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| faster-meta-update-strategy-for-noise-robust | 48.06 |
| instance-dependent-noisy-label-learning-via | 56.37 |
| learning-with-neighbor-consistency-for-noisy-1 | 64.6 |
| instance-dependent-noisy-label-learning-via | 52.24 |
| propmix-hard-sample-filtering-and | 56.22 |