Classification on SolidLetters (Original)
97.42AccuracyFoV-Net (UV)
Evaluation results
| Method | Links | |
|---|---|---|
| FoV-Net (UV)features=global UV grids2026.02 | 97.42 | |
| UV-Netaugmentation=none2026.02 | 97.1 | |
| AAGNetaugmentation=none2026.02 | 96.68 | |
| FoV-Netsetting=Rotation-invariant2026.02 | 96.35 | |
| UV-Net (aug)augmentation=rotation2026.02 | 95.34 | |
| AAGNet (aug)augmentation=rotation2026.02 | 94.95 |