| Rank | Model |
Accuracy |
Extra Training Data |
Paper | Code | Year |
| 1 |
PolyNet |
94.93 |
|
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
|
myavartanoo/PolyNet_PyTorch |
2021 |
| 2 |
ORION |
93.8 |
|
Orientation-boosted Voxel Nets for 3D Object Recognition
|
|
2016 |
| 3 |
G3DNet-18 SVM, Fine-Tuned, Vote |
93.1 |
✓ |
General-Purpose Deep Point Cloud Feature Extractor
|
WDot/G3DNet |
2018 |
| 4 |
ECC (12 votes) |
90 |
|
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
|
rusty1s/pytorch_cluster · mys007/ecc |
2017 |
| 5 |
PolyNet |
94.93 |
|
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
|
myavartanoo/PolyNet_PyTorch |
2021 |
| 6 |
ORION |
93.8 |
|
Orientation-boosted Voxel Nets for 3D Object Recognition
|
|
2016 |
| 7 |
G3DNet-18 SVM, Fine-Tuned, Vote |
93.1 |
✓ |
General-Purpose Deep Point Cloud Feature Extractor
|
WDot/G3DNet |
2018 |
| 8 |
ECC (12 votes) |
90 |
|
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
|
rusty1s/pytorch_cluster · mys007/ecc |
2017 |
| 9 |
PolyNet |
94.93 |
|
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
|
myavartanoo/PolyNet_PyTorch |
2021 |
| 10 |
ORION |
93.8 |
|
Orientation-boosted Voxel Nets for 3D Object Recognition
|
|
2016 |
| 11 |
G3DNet-18 SVM, Fine-Tuned, Vote |
93.1 |
✓ |
General-Purpose Deep Point Cloud Feature Extractor
|
WDot/G3DNet |
2018 |
| 12 |
ECC (12 votes) |
90 |
|
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
|
rusty1s/pytorch_cluster · mys007/ecc |
2017 |
| 13 |
PolyNet |
94.93 |
|
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
|
myavartanoo/PolyNet_PyTorch |
2021 |
| 14 |
ORION |
93.8 |
|
Orientation-boosted Voxel Nets for 3D Object Recognition
|
|
2016 |
| 15 |
G3DNet-18 SVM, Fine-Tuned, Vote |
93.1 |
✓ |
General-Purpose Deep Point Cloud Feature Extractor
|
WDot/G3DNet |
2018 |
| 16 |
ECC (12 votes) |
90 |
|
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
|
rusty1s/pytorch_cluster · mys007/ecc |
2017 |
| 17 |
PolyNet |
94.93 |
|
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
|
myavartanoo/PolyNet_PyTorch |
2021 |
| 18 |
ORION |
93.8 |
|
Orientation-boosted Voxel Nets for 3D Object Recognition
|
|
2016 |
| 19 |
G3DNet-18 SVM, Fine-Tuned, Vote |
93.1 |
✓ |
General-Purpose Deep Point Cloud Feature Extractor
|
WDot/G3DNet |
2018 |
| 20 |
ECC (12 votes) |
90 |
|
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
|
rusty1s/pytorch_cluster · mys007/ecc |
2017 |