Classification on SolidLetters Rotated
96.35AccuracyFoV-Net
Evaluation results
| Method | Links | |
|---|---|---|
| FoV-Netsetting=Rotation-invariant2026.02 | 96.35 | |
| UV-Net (aug)augmentation=rotation2026.02 | 94.97 | |
| AAGNet (aug)augmentation=rotation2026.02 | 94.43 | |
| FoV-Net (UV)features=global UV grids2026.02 | 23.53 | |
| AAGNetaugmentation=none2026.02 | 14.03 | |
| UV-Netaugmentation=none2026.02 | 8.94 |