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Target Classification on FUSAR-SHIP 30% label
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92.92
Top-1 Accuracy
SARMAE
57.0296
66.3473
75.665
84.9827
Dec 18, 2025
Top-1 Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
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Top-1 Accuracy
SARMAE
backbone=ViT-B
2025.12
92.92
SARMAE
backbone=ViT-L
2025.12
92.8
SUMMIT
2025.12
71.91
Beit
2025.12
71.13
Swin Transformer
2025.12
60.79
ResNet-50
2025.12
58.41
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