SAR Target Classification on SAR Target Classification (5-shot)
80.6AccuracySG-MAE
Evaluation results
| Method | Links | |
|---|---|---|
| SG-MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 80.6 | |
| SARATR-XBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 76.5 | |
| MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 72.9 | |
| MAEBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 71.5 | |
| MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 66.9 | |
| MAEBackbone=ViT, Params=86M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 65.8 | |
| MAEBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 64.9 | |
| MAEBackbone=Mamba, Params=27M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 61.9 | |
| SupervisedBackbone=ViT, Params=86M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 58.6 | |
| FCMAEBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SSL-ImageNet & SAR, Pre-Training Dataset=ImageNet & SAR2026.06 | 54.7 | |
| SupervisedBackbone=Mamba, Params=27M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 54.6 | |
| MAEBackbone=ViT, Params=86M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 54.1 | |
| MAEBackbone=HiViT, Params=66M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 53 | |
| FCMAEBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SSL-SAR, Pre-Training Dataset=SAR images2026.06 | 52.7 | |
| SupervisedBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 52.5 | |
| MAEBackbone=ViT, Params=86M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 50.7 | |
| SupervisedBackbone=HiViT, Params=66M, Pre-Training Setting=SL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 49 | |
| FCMAEBackbone=ConvNeXt-V2, Params=89M, Pre-Training Setting=SSL-ImageNet, Pre-Training Dataset=ImageNet-1K2026.06 | 47.2 |