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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	Score
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification	Feb 22, 2023	3D Point Cloud ClassificationClassification	—Unverified	0	0
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds	May 29, 2019	General ClassificationPoint Cloud Classification	—Unverified	0	0
On Learning the Right Attention Point for Feature Enhancement	Dec 11, 2020	ClassificationPoint Cloud Classification	—Unverified	0	0
On The Adversarial Robustness of 3D Point Cloud Classification	Sep 28, 2020	3D Point Cloud ClassificationAdversarial Robustness	—Unverified	0	0
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks	Nov 24, 2020	3D Point Cloud ClassificationAdversarial Robustness	—Unverified	0	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