3D Point Cloud Classification On Sydney Urban
Metriken
F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | F1 | Paper Title | Repository |
|---|---|---|---|
| G3DNet-18 MLP Fine-Tuned, Vote | 72.7 | General-Purpose Deep Point Cloud Feature Extractor | |
| ECC | 78.4 | Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs | - |
| ORION | 77.8 | Orientation-boosted Voxel Nets for 3D Object Recognition | - |
0 of 3 row(s) selected.