3D Point Cloud Linear Classification
Training a linear classifier(e.g. SVM) on the embeddings/representations of 3D point clouds. The embeddings/representations are usually trained in an unsupervised manner.
Papers
Showing 21–21 of 21 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | I2P-MAE | Overall Accuracy | 93.4 | — | Unverified |
| 2 | IAE (DGCNN) | Overall Accuracy | 92.1 | — | Unverified |
| 3 | AdaCrossNet | Overall Accuracy | 91.8 | — | Unverified |
| 4 | CrossMoCo | Overall Accuracy | 91.49 | — | Unverified |
| 5 | CrossPoint | Overall Accuracy | 91.2 | — | Unverified |
| 6 | STRL | Overall Accuracy | 90.9 | — | Unverified |
| 7 | PSG-Net | Overall Accuracy | 90.9 | — | Unverified |
| 8 | PointOE | Overall Accuracy | 90.7 | — | Unverified |
| 9 | Point-Jigsaw | Overall Accuracy | 90.6 | — | Unverified |
| 10 | MID-FC | Overall Accuracy | 90.3 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CrossMoCo | Overall Accuracy | 86.06 | — | Unverified |
| 2 | AdaCrossNet | Overall Accuracy | 82.1 | — | Unverified |
| 3 | CrossPoint | Overall Accuracy | 81.7 | — | Unverified |
| 4 | OcCo | Overall Accuracy | 78.3 | — | Unverified |