Classification on DFC20
70.43Accuracy (Optimal)CoDe-MAE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CoDe-MAEBackbone=HiViT-B, Pre-training Dataset=OSPretrain-1M, HR=true, Evaluation Protocol=10-shot linear probing2026.04 | 70.43 | 62.55 | |
| MaRSBackbone=Swin V2-B, Pre-training Dataset=MaRS-16M (32M), HR=true, Evaluation Protocol=10-shot linear probing2026.04 | 65.48 | 27.82 | |
| DOFABackbone=DOFA-B, Pre-training Dataset=DOFA-MM (8M), HR=true, Evaluation Protocol=10-shot linear probing2026.04 | 62.2 | 60.27 | |
| DeCURBackbone=ViT-S, Pre-training Dataset=SSL4EO (502K), HR=false, Evaluation Protocol=10-shot linear probing2026.04 | 57.95 | 53.02 | |
| SatViTBackbone=ViT-B, Pre-training Dataset=Sentinel-1/2 (2.6M), HR=false, Evaluation Protocol=10-shot linear probing2026.04 | 55.17 | 56.27 | |
| SwinSSLBackbone=Swin-T, Pre-training Dataset=SEN12MS (360K), HR=false, Evaluation Protocol=10-shot linear probing2026.04 | 51.56 | 54.01 | |
| CROMABackbone=ViT-B, Pre-training Dataset=SSL4EO (2M), HR=false, Evaluation Protocol=10-shot linear probing2026.04 | 50.39 | 55.37 | |
| FG-MAEBackbone=ViT-B, Pre-training Dataset=SSL4EO (2M), HR=false, Evaluation Protocol=10-shot linear probing2026.04 | 48.95 | 54.84 | |
| DINO-MMBackbone=ViT-S, Pre-training Dataset=BEN-MM (620K), HR=false, Evaluation Protocol=10-shot linear probing2026.04 | 47.55 | 59.61 |