SAR Ship Classification on FuSARShip 9-class (test)
62.38F1 ScoreM2mu
Evaluation Results
| Method | Links | |
|---|---|---|
| M2muBackbone=VGG16, Input Resolution=64x64, Pre-training=True2025.08 | 62.38 | |
| M2mfBackbone=VGG16, Input Resolution=64x64, Pre-training=True2025.08 | 60.26 | |
| M2muBackbone=ViT-16 base224, Input Resolution=224x224, Pre-training=True2025.08 | 59.92 | |
| M2mfBackbone=ViT-16 base224, Input Resolution=224x224, Pre-training=True2025.08 | 58.52 | |
| BaselineBackbone=VGG16, Input Resolution=64x64, Pre-training=True2025.08 | 53.56 | |
| M2morigBackbone=VGG16, Input Resolution=64x64, Pre-training=True2025.08 | 45.05 | |
| BaselineBackbone=ResNet50, Input Resolution=64x64, Pre-training=True2025.08 | 38.27 | |
| BaselineBackbone=ViT-16 base224, Input Resolution=224x224, Pre-training=True2025.08 | 36.95 | |
| M2mfBackbone=ResNet50, Input Resolution=64x64, Pre-training=True2025.08 | 36.3 | |
| M2muBackbone=ResNet50, Input Resolution=64x64, Pre-training=True2025.08 | 36.3 | |
| M2morigBackbone=ResNet50, Input Resolution=64x64, Pre-training=True2025.08 | 5.69 | |
| M2morigBackbone=ViT-16 base224, Input Resolution=224x224, Pre-training=True2025.08 | 0.92 |