3D Point Cloud Classification On Sydney Urban
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F1
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이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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