3D Point Cloud Classification On Sydney Urban
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
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