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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
PointManifoldCut: Point-wise Augmentation in the Manifold for Point Clouds	Sep 15, 2021	Point Cloud Classification	CodeCode Available	0
Boosting Point-BERT by Multi-choice Tokens	Jul 27, 2022	Few-Shot LearningLanguage Modeling	CodeCode Available	0
Streaming Sliced Optimal Transport	May 11, 2025	Change Point DetectionPoint Cloud Classification	CodeCode Available	0
MGIC: Multigrid-in-Channels Neural Network Architectures	Nov 17, 2020	image-classificationImage Classification	CodeCode Available	0
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data	Jan 15, 2024	ClassificationDescriptive	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