3D Object Classification On Modelnet10
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| PolyNet | 94.93 | PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation | - |
| ORION | 93.8 | Orientation-boosted Voxel Nets for 3D Object Recognition | - |
| G3DNet-18 SVM, Fine-Tuned, Vote | 93.1 | General-Purpose Deep Point Cloud Feature Extractor | |
| ECC (12 votes) | 90 | Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs | - |
0 of 4 row(s) selected.