Satellite Image Classification on EuroSAT (Top-1 Accuracy)
96.6Top-1 AccNone
Evaluation Results
| Method | Links | |
|---|---|---|
| NoneBackbone=CLIP (ViT-B32), Mapping=None2024.10 | 96.6 | |
| SatMAE++ViT=Large, Evaluation Protocol=Linear probing2025.05 | 96.57 | |
| One-to-one MappingBackbone=CLIP (ViT-B32), Mapping=One-to-one Mapping2024.10 | 96.5 | |
| SatMAEViT=Large, Evaluation Protocol=Linear probing2025.05 | 96.43 | |
| BLMBackbone=CLIP (ViT-B32)2024.10 | 96.3 | |
| BLM+Backbone=CLIP (ViT-B32)2024.10 | 96.3 | |
| Sat2SoundViT=Base, Evaluation Protocol=Linear probing2025.05 | 83.83 | |
| CLIPMode=Zero-shot2024.04 | 54.1 | |
| PromptSRCmode=Target Evaluation2025.05 | 46.87 | |
| MMAmode=Target Evaluation2025.05 | 46.57 | |
| MaPLemode=Target Evaluation2025.05 | 46.49 | |
| MMRL++mode=Target Evaluation2025.05 | 46.13 | |
| MMRLmode=Target Evaluation2025.05 | 45.9 | |
| CoOpOpmode=Target Evaluation2025.05 | 45.73 | |
| TCPmode=Target Evaluation2025.05 | 44.35 | |
| CoOpmode=Target Evaluation2025.05 | 41.92 | |
| ARFFinetuning Dataset=ImageNet2024.04 | 35.8 | |
| FLYPFinetuning Dataset=ImageNet2024.04 | 34.3 | |
| LP-FTFinetuning Dataset=ImageNet2024.04 | 30.4 | |
| FTFinetuning Dataset=ImageNet2024.04 | 15.4 |