SOTAVerified

Point Cloud Classification

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–160 of 265 papers

TitleStatusHype
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis—0
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis—0
PointGuard: Provably Robust 3D Point Cloud Classification—0
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation—0
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
PointMoment:Mixed-Moment-based Self-Supervised Representation Learning for 3D Point Clouds—0
Structural Relational Reasoning of Point Clouds—0
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces—0
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation—0
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation—0
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All datasetsPointCloud-CISPRS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PointNetmean Corruption Error (mCE)1.42—Unverified
2WOLFMix (PointNet)mean Corruption Error (mCE)1.18—Unverified
3PointNetmean Corruption Error (mCE)1.18—Unverified
4RSCNNmean Corruption Error (mCE)1.13—Unverified
5PAConvmean Corruption Error (mCE)1.1—Unverified
6SimpleViewmean Corruption Error (mCE)1.05—Unverified
7OcCo-DGCNNmean Corruption Error (mCE)1.05—Unverified
8PointMixUp (PointNet++)mean Corruption Error (mCE)1.03—Unverified
9DGCNNmean Corruption Error (mCE)1—Unverified
10OcCo-DGCNNmean Corruption Error (mCE)0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1OursAverage F182.8—Unverified