Image Classification On Red Miniimagenet 60
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| InstanceGM | 47.96 | Instance-Dependent Noisy Label Learning via Graphical Modelling | |
| PropMix | 52.84 | PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels | |
| FaMUS | 45.1 | Faster Meta Update Strategy for Noise-Robust Deep Learning | |
| InstanceGM-SS | 53.21 | Instance-Dependent Noisy Label Learning via Graphical Modelling |
0 of 4 row(s) selected.