3D Classification on ModelNet10

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	PolyNet	94.93	No	PolyNet: Polynomial Neural Network for 3D Shape ...	2021-10-15	Code
2	ORION	93.8	No	Orientation-boosted Voxel Nets for 3D Object Rec...	2016-04-12	-
3	G3DNet-18 SVM, Fine-Tuned, Vote	93.1	Yes	-	-	Code
4	ECC (12 votes)	90	No	Dynamic Edge-Conditioned Filters in Convolutiona...	2017-04-10	Code

#1PolyNetSOTA
94.93
Accuracy· 2021-10-15
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Code
#2ORIONSOTA
93.8
Accuracy· 2016-04-12
Orientation-boosted Voxel Nets for 3D Object Recognition
#3G3DNet-18 SVM, Fine-Tuned, Vote
93.1
Accuracy· Extra Data
No paperCode
#4ECC (12 votes)
90
Accuracy· 2017-04-10
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs Code