Image Classification on EuroSAT-SAR
Metric: Overall Accuracy (higher is better)
LeaderboardDataset
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Results
Submit a result| # | Model↕ | Overall Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | FG-MAE (ViT-S/16) | 85.9 | Yes | Feature Guided Masked Autoencoder for Self-super... | 2023-10-28 | Code |
| 2 | MAE (ViT-S/16) | 81 | Yes | Feature Guided Masked Autoencoder for Self-super... | 2023-10-28 | Code |
| 3 | ViT-S/16 | 78.4 | No | Feature Guided Masked Autoencoder for Self-super... | 2023-10-28 | Code |