SOTAVerified

Point Cloud Classification

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

Papers

Showing 101110 of 265 papers

TitleStatusHype
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelCode0
A Graph-CNN for 3D Point Cloud ClassificationCode0
On Automatic Data Augmentation for 3D Point Cloud ClassificationCode0
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural NetworksCode0
Multi-scale Receptive Fields Graph Attention Network for Point Cloud ClassificationCode0
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D TransformersCode0
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud ProcessingCode0
Geometric Back-projection Network for Point Cloud ClassificationCode0
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsCode0
MGIC: Multigrid-in-Channels Neural Network ArchitecturesCode0
Show:102550
← PrevPage 11 of 27Next →

Benchmark Results

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