Point Cloud Classification on PCC13
92.5ScanObjectNN (obj_bg) AccPoint-PEFT
Evaluation Results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Point-PEFTPre-trained model=MaskLRF [28]2025.02 | 92.5 | 88.6 | 82.5 | 73 | 45.6 | 90.9 | 39.7 | 91 | 95.9 | 100 | 95.7 | 75.5 | 79.6 | 80.8 | |
| STAG-slPre-trained model=MaskLRF [28]2025.02 | 92.5 | 88.6 | 84.8 | 75.1 | 48.4 | 92.1 | 40.7 | 90.5 | 96 | 100 | 95.5 | 75.9 | 79.7 | 81.5 | |
| PPTPre-trained model=MaskLRF [28]2025.02 | 92.2 | 89 | 85 | 74.9 | 47.6 | 92.4 | 39 | 90.3 | 96 | 100 | 95.9 | 75.4 | 79.4 | 81.3 | |
| Full fine-tuningPre-trained model=MaskLRF [28]2025.02 | 91.8 | 89.8 | 86.9 | 74.9 | 48.1 | 93.6 | 38.9 | 90 | 95.9 | 100 | 95.2 | 74.6 | 80.2 | 81.5 | |
| STAG-stdPre-trained model=MaskLRF [28]2025.02 | 91.7 | 88.8 | 84.1 | 74.6 | 46.5 | 91 | 40.3 | 90.4 | 96 | 100 | 95.6 | 75.7 | 80.1 | 81.1 | |
| IDPTPre-trained model=MaskLRF [28]2025.02 | 91.5 | 88 | 83.5 | 73.9 | 44.1 | 91.3 | 40.2 | 90.7 | 96 | 100 | 95.7 | 75.3 | 79.6 | 80.7 | |
| PointGSTPre-trained model=MaskLRF [28]2025.02 | 91.5 | 88.6 | 84.6 | 74.3 | 46.6 | 91.2 | 40 | 90.1 | 95.8 | 100 | 95.9 | 75.7 | 80.1 | 81.1 | |
| DAPTPre-trained model=MaskLRF [28]2025.02 | 90.8 | 88.3 | 82.8 | 71.5 | 45.1 | 91 | 38.7 | 89.4 | 95.8 | 100 | 95.8 | 73.5 | 77.6 | 80 | |
| Pred. head onlyPre-trained model=MaskLRF [28]2025.02 | 87.1 | 85.7 | 77 | 71.2 | 32.6 | 83.7 | 36.7 | 88.7 | 95.4 | 100 | 95.2 | 72 | 74.1 | 76.9 |