Multi-Label Image Classification 벤치마크
Multi-Label Image Classification on BigEarthNet-S1 (official test set)
mAP (micro)
- 2023-10-28 — FG-MAE (ViT-S/16): mAP (micro) 82.7
| Rank | Model | mAP (micro) | Extra Training Data | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | FG-MAE (ViT-S/16) | 82.7 | ✓ | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | zhu-xlab/fgmae | 2023 |
| 2 | MAE (ViT-S/16) | 81.3 | ✓ | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | zhu-xlab/fgmae | 2023 |
| 3 | ViT-S/16 | 79.5 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | zhu-xlab/fgmae | 2023 | |
| 4 | FG-MAE (ViT-S/16) | 82.7 | ✓ | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | zhu-xlab/fgmae | 2023 |
| 5 | MAE (ViT-S/16) | 81.3 | ✓ | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | zhu-xlab/fgmae | 2023 |
| 6 | ViT-S/16 | 79.5 | Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing | zhu-xlab/fgmae | 2023 |