Multi Label Classification On Mlrsnet
Métriques
F1-score
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1-score | Paper Title | Repository |
|---|---|---|---|
| ResNet50 (scratch) | 91.83 | Do we still need ImageNet pre-training in remote sensing scene classification? | |
| ResNet50 (fine-tuning) | 92.41 | Do we still need ImageNet pre-training in remote sensing scene classification? |
0 of 2 row(s) selected.