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Benchmarks
3D Shape Classification on ModelNet 10 1.0 (test)
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97.1
Accuracy
VRN Ensemble
79.0976
83.7713
88.445
93.1187
Jun 22, 2014
Apr 11, 2015
Jan 29, 2016
Nov 17, 2016
Sep 6, 2017
Jun 26, 2018
Apr 16, 2019
Accuracy
Avg Class Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Avg Class Accuracy
VRN Ensemble
Input configuration=ad...
2019.04
97.1
-
SO-Net
Input configuration=ad...
2019.04
95.7
95.5
A-CNN
Input configuration=10...
2019.04
95.5
95.3
Point2Sequence
Input configuration=10...
2019.04
95.3
95.1
Kd-Net
Input configuration=10...
2019.04
94
93.5
3D ShapeNets
features=5th layer, cl...
2014.06
83.54
-
LFD
dimensions=4,700, clas...
2014.06
79.87
-
SPH
dimensions=544, classi...
2014.06
79.79
-
KCNet
Input configuration=10...
2019.04
-
94.4
PCNN
Input configuration=10...
2019.04
-
94.9
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