SOTAVerified

Point Cloud Classification

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

Papers

Showing 131140 of 265 papers

TitleStatusHype
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook0
Deep Learning-based Compressed Domain Multimedia for Man and Machine: A Taxonomy and Application to Point Cloud Classification0
DualMLP: a two-stream fusion model for 3D point cloud classificationCode0
Edge Aware Learning for 3D Point Cloud0
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation0
Robustifying Point Cloud Networks by RefocusingCode0
Learning Adaptive Neighborhoods for Graph Neural Networks0
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks0
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey0
Feature Adversarial Distillation for Point Cloud Classification0
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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