3D Object Classification on ModelNet-C
86.57Accuracy (Add Global)
ULIP-2 + RC
Updated 3d ago
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
2024.10 | 86.57 | 86.3 | 84.87 | 67.8 | 84.6 | 81.17 | 46.43 | 76.82 | |
2024.10 | 83.83 | 83.93 | 81.83 | 67.37 | 79.1 | 76.37 | 41.67 | 73.44 | |
2024.10 | 83.49 | 83.49 | 68.85 | 66.67 | 70.13 | 75.68 | 61.21 | 72.79 | |
2024.10 | 82.5 | 82.27 | 80.77 | 65.43 | 72.27 | 74.67 | 45.6 | 71.93 | |
2024.10 | 81.97 | 82.03 | 79.93 | 60.03 | 80.3 | 75.77 | 44.27 | 72.04 | |
2024.10 | 80.97 | 80.97 | 64.95 | 68.31 | 65.75 | 72.04 | 52.09 | 69.3 |