3D Object Classification On Modelnet10
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| 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 |
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