SOTAVerified

3D Point Cloud Classification

Papers

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Showing 1–50 of 202 papers

TitleStatusHype
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation LearningCode0
Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification—0
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point CloudsCode1
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
Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional EncodingCode0
AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud LearningCode0
Rethinking Masked Representation Learning for 3D Point Cloud UnderstandingCode0
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud ClassificationCode1
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight AveragingCode1
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization—0
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
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning—0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
Positional Prompt Tuning for Efficient 3D Representation LearningCode1
Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation—0
PCP-MAE: Learning to Predict Centers for Point Masked AutoencodersCode2
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and SegmentationCode1
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud UnderstandingCode1
Transferable 3D Adversarial Shape Completion using Diffusion ModelsCode0
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds—0
KPConvX: Modernizing Kernel Point Convolution with Kernel AttentionCode2
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation—0
FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse LandscapesCode3
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point CloudCode1
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space ModelCode2
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point CloudsCode1
ShapeLLM: Universal 3D Object Understanding for Embodied InteractionCode3
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View—0
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud ClassificationCode1
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
Towards Compact 3D Representations via Point Feature Enhancement Masked AutoencodersCode1
PointMoment:Mixed-Moment-based Self-Supervised Representation Learning for 3D Point Clouds—0
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation—0
OmniVec: Learning robust representations with cross modal sharing—0
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook—0
DualMLP: a two-stream fusion model for 3D point cloud classificationCode0
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningCode1
Decoupled Local Aggregation for Point Cloud LearningCode1
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud ModelsCode1
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey—0
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersCode1
CrossMoCo: Multi-modal Momentum Contrastive Learning for Point CloudCode0
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
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All datasetsModelNet40ScanObjectNNModelNet40-CIntrASydney Urban Objects

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PointGSTOverall Accuracy95.3—Unverified
2Mamba3D + Point-MAEOverall Accuracy95.1—Unverified
3ReCon++Overall Accuracy95—Unverified
4PointGPTOverall Accuracy94.9—Unverified
5point2vecOverall Accuracy94.8—Unverified
6AsymDSD-B* (no voting)Overall Accuracy94.7—Unverified
7ULIP + PointMLPOverall Accuracy94.7—Unverified
8ReConOverall Accuracy94.7—Unverified
9RepSurf-UOverall Accuracy94.7—Unverified
10PointMLP+HyCoReOverall Accuracy94.5—Unverified
#ModelMetricClaimedVerifiedStatus
1OmniVec2Overall Accuracy97.2—Unverified
2PointGSTOverall Accuracy96.18—Unverified
3OmniVecOverall Accuracy96.1—Unverified
4GPSFormerOverall Accuracy95.4—Unverified
5ReCon++Overall Accuracy95.25—Unverified
6AsymDSD-B* (no voting)Overall Accuracy93.72—Unverified
7PointGPTOverall Accuracy93.4—Unverified
8GPSFormer-eliteOverall Accuracy93.3—Unverified
9Mamba3DOverall Accuracy92.64—Unverified
10Mamba3D (no voting)Overall Accuracy91.81—Unverified
#ModelMetricClaimedVerifiedStatus
1PointNetError Rate0.28—Unverified
2SimpleViewError Rate0.27—Unverified
3RSCNNError Rate0.26—Unverified
4DGCNNError Rate0.26—Unverified
5PCTError Rate0.26—Unverified
6PointNet++Error Rate0.24—Unverified
7PointNet++/+PointMixupError Rate0.19—Unverified
8PointNet++/+PointCutMix-RError Rate0.19—Unverified
9DGCNN+PointCutMix-RError Rate0.17—Unverified
10PCT+RSMixError Rate0.17—Unverified