摘要
请提供需要翻译的英文内容。
代码仓库
charmonyshen/firerisk
官方
GitHub 中提及
基准测试
| 基准 | 方法 | 指标 |
|---|---|---|
| remote-sensing-image-classification-on | ResNet-50 | Accuracy (%): 63.20 |
| remote-sensing-image-classification-on | DINO (ViT-B/16) | Accuracy (%): 63.36 |
| remote-sensing-image-classification-on | ViT-B/16 | Accuracy (%): 63.31 |
| remote-sensing-image-classification-on | MAE (ViT-B/16) | Accuracy (%): 65.29 |