SOTAVerified

Point Cloud Classification

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

Papers

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Showing 101–150 of 265 papers

TitleStatusHype
PointManifoldCut: Point-wise Augmentation in the Manifold for Point CloudsCode0
Boosting Point-BERT by Multi-choice TokensCode0
Streaming Sliced Optimal TransportCode0
Local Neighborhood Features for 3D ClassificationCode0
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid ApproachCode0
Classifying point clouds at the facade-level using geometric features and deep learning networksCode0
Improved Training for 3D Point Cloud ClassificationCode0
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and SegmentationCode0
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisCode0
Token Adaptation via Side Graph Convolution for Temporally and Spatially Efficient Fine-tuning of 3D Point Cloud TransformersCode0
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global TopologyCode0
A Graph-CNN for 3D Point Cloud ClassificationCode0
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural NetworksCode0
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point CloudsCode0
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud ClassificationCode0
Robustifying Point Cloud Networks by RefocusingCode0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar dataCode0
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient FlowsCode0
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural NetworkCode0
PatchAugment: Local Neighborhood Augmentation in Point Cloud ClassificationCode0
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and SegmentationCode0
Semantic3D.net: A new Large-scale Point Cloud Classification BenchmarkCode0
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds DefenseCode0
Relation-Shape Convolutional Neural Network for Point Cloud AnalysisCode0
Grid-GCN for Fast and Scalable Point Cloud LearningCode0
Adaptive Graph Convolution for Point Cloud AnalysisCode0
Transferable 3D Adversarial Shape Completion using Diffusion ModelsCode0
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud ProcessingCode0
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud ClassificationCode0
SGAS: Sequential Greedy Architecture SearchCode0
DualMLP: a two-stream fusion model for 3D point cloud classificationCode0
Geometric Back-projection Network for Point Cloud ClassificationCode0
Adversarial shape perturbations on 3D point cloudsCode0
DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature ExtractionCode0
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on GraphsCode0
AGConv: Adaptive Graph Convolution on 3D Point CloudsCode0
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding—0
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency—0
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization—0
Self-Distillation for Unsupervised 3D Domain Adaptation—0
Semantic-aware Transmission for Robust Point Cloud Classification—0
PMT-MAE: Dual-Branch Self-Supervised Learning with Distillation for Efficient Point Cloud Classification—0
Shape-Oriented Convolution Neural Network for Point Cloud Analysis—0
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples—0
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees—0
Transformers in Vision: A Survey—0
Point Cloud Classification via Deep Set Linearized Optimal Transport—0
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks—0
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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