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Image Classification On Eurosat Sar
Metriken
Overall Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| FG-MAE (ViT-S/16) | 85.9 | 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 | |
| ViT-S/16 | 78.4 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing |
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