3D Point Cloud Classification on PCC13 v1 (test)
91.5ScanObjectNN (obj_bg)STAG-std
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| STAG-stdPre-trained Model=Point-MAE [5]2025.02 | 91.5 | 89.4 | 85.1 | 71 | 48.9 | 88.4 | 40.1 | 93 | 94.9 | 99.3 | 96.2 | 76.4 | 82 | 81.2 | |
| STAG-slPre-trained Model=Point-MAE [5]2025.02 | 91.3 | 89 | 85.7 | 71.4 | 51.6 | 90.5 | 40.7 | 93.1 | 95 | 99.2 | 96.2 | 76.7 | 81.9 | 81.7 | |
| Point-PEFTPre-trained Model=Point-MAE [5]2025.02 | 90.2 | 89 | 85.1 | 70.3 | 47.8 | 84.5 | 39.3 | 94 | 94.4 | 95.7 | 95.9 | 76.2 | 81.7 | 80.3 | |
| IDPTPre-trained Model=Point-MAE [5]2025.02 | 90.1 | 88.4 | 84.6 | 69.1 | 46.1 | 87.1 | 39 | 93.2 | 94.7 | 97 | 96 | 75.9 | 81.7 | 80.2 | |
| DAPTPre-trained Model=Point-MAE [5]2025.02 | 89.8 | 89.2 | 83.7 | 70.1 | 48.8 | 88.3 | 39.5 | 93.2 | 94.6 | 97.4 | 95.5 | 75.5 | 81.7 | 80.6 | |
| PPTPre-trained Model=Point-MAE [5]2025.02 | 89.6 | 89.2 | 83.8 | 72 | 49 | 89.8 | 39.1 | 92.9 | 94.9 | 97.7 | 96.1 | 74.8 | 80.6 | 80.7 | |
| Full fine-tuningPre-trained Model=Point-MAE [5]2025.02 | 89.4 | 87.8 | 84.8 | 71.1 | 50.3 | 91.7 | 39 | 92.7 | 94.9 | 96.4 | 96.1 | 75.3 | 80.9 | 80.8 | |
| PointGSTPre-trained Model=Point-MAE [5]2025.02 | 89.4 | 89.2 | 84.4 | 70.9 | 49.1 | 86.6 | 40.4 | 93.3 | 94.5 | 97 | 96.4 | 76.2 | 81.9 | 80.7 | |
| Pred. head onlyPre-trained Model=Point-MAE [5]2025.02 | 83.2 | 85.7 | 73.7 | 61.8 | 29.1 | 63.1 | 32.2 | 92.1 | 91.3 | 89.2 | 95.2 | 64.9 | 77.5 | 72.2 |