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Point Cloud Classification

Point Cloud Classification is a task involving the classification of unordered 3D point sets (point clouds).

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 261–265 of 265 papers

Title	Date	Tasks	Status	Hype
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks	Nov 22, 2017	3D Part Segmentation3D Point Cloud Classification	CodeCode Available	0
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds	Jul 21, 2017	ClassificationDeep Reinforcement Learning	—Unverified	0
Classification of Aerial Photogrammetric 3D Point Clouds	May 23, 2017	ClassificationGeneral Classification	—Unverified	0
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark	Apr 12, 2017	3D Point Cloud ClassificationClassification	CodeCode Available	0
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	Apr 10, 2017	3D Object Classification3D Point Cloud Classification	CodeCode Available	0

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All datasets PointCloud-C ISPRS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PointNet	mean Corruption Error (mCE)	1.42	—	Unverified
2	WOLFMix (PointNet)	mean Corruption Error (mCE)	1.18	—	Unverified
3	PointNet	mean Corruption Error (mCE)	1.18	—	Unverified
4	RSCNN	mean Corruption Error (mCE)	1.13	—	Unverified
5	PAConv	mean Corruption Error (mCE)	1.1	—	Unverified
6	SimpleView	mean Corruption Error (mCE)	1.05	—	Unverified
7	OcCo-DGCNN	mean Corruption Error (mCE)	1.05	—	Unverified
8	PointMixUp (PointNet++)	mean Corruption Error (mCE)	1.03	—	Unverified
9	DGCNN	mean Corruption Error (mCE)	1	—	Unverified
10	OcCo-DGCNN	mean Corruption Error (mCE)	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Ours	Average F1	82.8	—	Unverified