3D Object Classification on ScanObjectNN PB_T50_RS (FULL Protocol)
90.63AccuracyReCon
Evaluation results
| Method | Links | |
|---|---|---|
| ReCon2025.12 | 90.63 | |
| CSCon2025.12 | 90.42 | |
| DAP-MAE2025.12 | 90.25 | |
| Point-FEMAE2025.12 | 90.22 | |
| I2P-MAE2025.12 | 90.11 | |
| Point-PQAE2025.12 | 89.6 | |
| PointLAMA2025.12 | 89.53 | |
| P2P-HorNet2025.12 | 89.3 | |
| Point-CMAE2025.12 | 88.75 | |
| ACT2025.12 | 88.21 | |
| UniPre3D2025.12 | 87.93 | |
| PointDif2025.12 | 87.61 | |
| PointGPT2025.12 | 86.9 | |
| Point-M2AE2025.12 | 86.43 | |
| Joint-MAE2025.12 | 86.07 | |
| TAP2025.12 | 85.67 | |
| Point-MAE2025.12 | 85.18 | |
| MaskPoint2025.12 | 84.3 | |
| Point-BERT2025.12 | 83.07 | |
| MVTN2025.12 | 82.8 | |
| CMC2025.12 | 82.48 | |
| DGCNN2025.12 | 78.1 | |
| PointNet++2025.12 | 77.9 | |
| PointNet2025.12 | 68 | |
| PointContrast2025.12 | 66.69 |