SOTAVerified

Point Cloud Classification

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

Papers

Showing 101125 of 265 papers

TitleStatusHype
Boosting Point-BERT by Multi-choice TokensCode0
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud ClassificationCode0
Adversarial shape perturbations on 3D point cloudsCode0
EPiC: Ensemble of Partial Point Clouds for Robust ClassificationCode0
PointManifoldCut: Point-wise Augmentation in the Manifold for Point CloudsCode0
A Graph-CNN for 3D Point Cloud ClassificationCode0
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelCode0
Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional EncodingCode0
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural NetworksCode0
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D TransformersCode0
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud ProcessingCode0
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsCode0
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisCode0
Grid-GCN for Fast and Scalable Point Cloud LearningCode0
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud ClassificationCode0
Robustifying Point Cloud Networks by RefocusingCode0
DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature ExtractionCode0
BeyondRPC: A Contrastive and Augmentation-Driven Framework for Robust Point Cloud UnderstandingCode0
DualMLP: a two-stream fusion model for 3D point cloud classificationCode0
On Automatic Data Augmentation for 3D Point Cloud ClassificationCode0
MGIC: Multigrid-in-Channels Neural Network ArchitecturesCode0
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud ClassificationCode0
Improved Training for 3D Point Cloud ClassificationCode0
Multi-scale Receptive Fields Graph Attention Network for Point Cloud ClassificationCode0
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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