Multi-Label Classification 벤치마크
Multi-Label Classification on MLRSNet
| Rank | Model | F1-score | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | ResNet50 (fine-tuning) | 92.41 | Do we still need ImageNet pre-training in remote sensing scene classification? | risojevicv/rssc-transfer | 2021 |
| 2 | ResNet50 (scratch) | 91.83 | Do we still need ImageNet pre-training in remote sensing scene classification? | risojevicv/rssc-transfer | 2021 |