Classification on FUSAR-SHIP
89.4Overall AccuracyCoDe-MAE
Evaluation Results
| Method | Links | |
|---|---|---|
| CoDe-MAEBackbone=HiViT-B, 40-shot setting=true2026.04 | 89.4 | |
| SARMAEBackbone=ViT-B, 40-shot setting=true2026.04 | 89.3 | |
| SARATR-XBackbone=HiViT-B, 40-shot setting=true2026.04 | 87.7 | |
| SAR-JEPABackbone=ViT-B, 40-shot setting=true2026.04 | 85.8 | |
| SUMMITBackbone=ViT-B, 40-shot setting=true2026.04 | 81.5 | |
| MaRSBackbone=Swin V2-B, 40-shot setting=true2026.04 | 77.7 |