ModelNet
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Object Classification | ModelNet40 (test) | Accuracy97.7 | 308 | |
| 3D Point Cloud Classification | ModelNet40 (test) | OA94.5 | 297 | |
| Shape Classification | ModelNet40 (test) | OA94.9 | 255 | |
| Point Cloud Classification | ModelNet40 (test) | Accuracy94.7 | 229 | |
| 3D Shape Classification | ModelNet40 (test) | Accuracy97.6 | 227 | |
| Object Classification | ModelNet40 (test) | Accuracy95.54 | 180 | |
| Point Cloud Adversarial Attack | ModelNet40 (test) | ASR100 | 123 | |
| Classification | ModelNet40 (test) | Accuracy94.2 | 120 | |
| Multi-view 3D Reconstruction | ModelNet40 (test) | mIoU52.9 | 112 | |
| Classification | ModelNet40 | Accuracy98.2 | 108 | |
| Few-shot Classification | ModelNet40 10-way 20-shot | Accuracy96.5 | 105 | |
| Few-shot Classification | ModelNet40 10-way 10-shot | Accuracy95.2 | 105 | |
| Point Cloud Classification | ModelNet40 | ASR11.39 | 100 | |
| Few-shot 3D Classification | ModelNet40 (test) | Accuracy99 | 92 | |
| Few-shot Classification | ModelNet40 5-way 20-shot | Accuracy99.4 | 90 | |
| Few-shot Classification | ModelNet40 5-way 10-shot | Accuracy97.5 | 90 | |
| 3D Object Classification | ModelNet40 | Accuracy0.941 | 78 | |
| Keypoint Detection | ModelNet40 (test) | Relative Repeatability87.2 | 77 | |
| Point Cloud Classification | ModelNet40 v1 (test) | ASR100 | 76 | |
| Point Cloud Classification | ModelNet10 (test) | Accuracy95.4 | 71 | |
| 3D Object Classification | ModelNet40 few-shot | Accuracy99.5 | 70 | |
| 3D Point Cloud Classification | ModelNet40 | Accuracy94.7 | 69 | |
| Few-shot Classification | ModelNet40 (test) | Mean Accuracy98.4 | 68 | |
| 3D Shape recognition | ModelNet10 (test) | Accuracy99.3 | 64 | |
| Object Classification | ModelNet40 1k points | Accuracy95.1 | 63 |
Showing 25 of 239 rows
...