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Multi Label Image Classification On 3
Métriques
mAP (micro)
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| FG-MAE (ViT-S/16) | 82.7 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing |
| MAE (ViT-S/16) | 81.3 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing |
| ViT-S/16 | 79.5 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing |
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