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 1–25 of 265 papers

TitleStatusHype
BeyondRPC: A Contrastive and Augmentation-Driven Framework for Robust Point Cloud UnderstandingCode0
Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification—0
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point CloudsCode1
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency—0
Hybrid-Emba3D: Geometry-Aware and Cross-Path Feature Hybrid Enhanced State Space Model for Point Cloud ClassificationCode0
Streaming Sliced Optimal TransportCode0
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging—0
DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification—0
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point CloudsCode0
Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes—0
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations—0
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient FlowsCode0
Spiking Point Transformer for Point Cloud ClassificationCode1
Token Adaptation via Side Graph Convolution for Temporally and Spatially Efficient Fine-tuning of 3D Point Cloud TransformersCode0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization—0
Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional EncodingCode0
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network—0
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud ClassificationCode1
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight AveragingCode1
Low-Density 3D Point Cloud Classification—0
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point SetsCode1
Robust 3D Point Clouds Classification based on Declarative DefendersCode1
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud LearningCode3
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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