ModelNet40
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Shape classification | ModelNet40 | Accuracy94.7 | 85 | |
| Point Cloud Registration | ModelNet40 RPMNet manner (Unseen Shapes) | RMSE(R)0.898 | 32 | |
| Normal Estimation | ModelNet40 (test) | Avg Cosine Distance Error0.11 | 19 | |
| Targeted Adversarial Attack | ModelNet40 (test) | ASR0.9958 | 12 | |
| Point Cloud Classification | ModelNet40 v1.0 (Random) | Accuracy90.5 | 12 | |
| 3D Point Cloud Classification | ModelNet40 (test) | Inference Time (s)0.0013 | 12 | |
| 3D Object Recognition | ModelNet40 8k points (test) | Accuracy95 | 11 | |
| Multi-instance Point Cloud Registration | Synthetic ModelNet40 (70%~90% Outlier Ratio) | MHR0.6039 | 4 | |
| Multi-instance Point Cloud Registration | Synthetic ModelNet40 50%~70% Outlier Ratio | MHR93.99 | 4 | |
| Retrieval | ModelNet40 Rotated (test) | Retrieval mAP79.7 | 4 | |
| Shape Classification | ModelNet40 level 5 resolution (test) | Accuracy90.5 | 4 | |
| Few-shot Classification | ModelNet40 v1 (test) | Metric- | 0 |
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