Image Classification On Eurosat Sar
Metrics
Overall Accuracy
Results
Performance results of various models on this benchmark
Model Name | Overall Accuracy | Paper Title | Repository |
|---|---|---|---|
| FG-MAE (ViT-S/16) | 85.9 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | - |
| ViT-S/16 | 78.4 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | - |
| MAE (ViT-S/16) | 81.0 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | - |
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