Point Cloud Classification on ModelNet/ShapeNet/ScanNet (Domain Adaptation)
90.22Accuracy (M -> S)
ReFine3D
Updated 1mo ago
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
2026.06 | 90.22 | 53.17 | 92.07 | 53.25 | 87.31 | 87.16 | 77.19 | |
2026.06 | 89 | 51.37 | 89.87 | 49.57 | 85.57 | 83.07 | 74.74 | |
2026.06 | 86 | 52.3 | 67.3 | 42.1 | 69.8 | 69.5 | 64.5 | |
2026.06 | 85.6 | 57.9 | 73.1 | 50 | 70.3 | 66.3 | 67.2 | |
2026.06 | 84.8 | 48.1 | 83.2 | 42 | 60.43 | 70.5 | 64.84 | |
2026.06 | 83.7 | 56.4 | 71.7 | 57.6 | 69.5 | 73.5 | 67.8 | |
2026.06 | 74.33 | 38.23 | 35.17 | 36.17 | 24.7 | 60.67 | 44.88 | |
2026.06 | 64.2 | 33 | 47.6 | 33.9 | 49.1 | 64.1 | 48.7 | |
2026.06 | 40.53 | 26.4 | 31.33 | 35.57 | 16.3 | 24.97 | 29.18 |