SAR Target Classification (10-shot setting)
83.6AccuracySG-MAE
Evaluation results
| Method | Links | |
|---|---|---|
| SG-MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 83.6 | |
| SARATR-XBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 80.8 | |
| MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 78.9 | |
| MAEBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 78.5 | |
| MAEBackbone=ViT, Params=86M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 76.4 | |
| MAEBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 72.7 | |
| MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 72.5 | |
| MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 68.4 | |
| SupervisedBackbone=ViT, Params=86M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 65.7 | |
| SupervisedBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 61.7 | |
| FCMAEBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 61.5 | |
| MAEBackbone=ViT, Params=86M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 61.5 | |
| SupervisedBackbone=Mamba, Params=27M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 61.3 | |
| FCMAEBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 60.9 | |
| MAEBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 60.3 | |
| MAEBackbone=ViT, Params=86M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 58 | |
| SupervisedBackbone=HiViT, Params=66M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 55.8 | |
| FCMAEBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 54.5 |