SOTAVerified

Point Cloud Classification

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

Papers

Showing 51100 of 265 papers

TitleStatusHype
PointMixup: Augmentation for Point CloudsCode1
Point Cloud Augmentation with Weighted Local TransformationsCode1
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point SetsCode1
Collect-and-Distribute Transformer for 3D Point Cloud AnalysisCode1
A Closer Look at Few-Shot 3D Point Cloud ClassificationCode1
APSNet: Attention Based Point Cloud SamplingCode1
Positional Prompt Tuning for Efficient 3D Representation LearningCode1
Parameter-Efficient Person Re-identification in the 3D SpaceCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
Rethinking the compositionality of point clouds through regularization in the hyperbolic spaceCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
Deep Declarative Networks: A New HopeCode1
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
Surrogate Model-Based Explainability Methods for Point Cloud NNsCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
Deep SetsCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point CloudsCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
Dense-Resolution Network for Point Cloud Classification and SegmentationCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point CloudsCode1
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point CloudsCode1
Differentiable Euler Characteristic Transforms for Shape ClassificationCode1
Implicit Convolutional Kernels for Steerable CNNsCode1
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained ModelsCode1
Benchmarking and Analyzing Point Cloud Classification under CorruptionsCode1
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudCode1
Learnable Lookup Table for Neural Network QuantizationCode1
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsCode1
Exploiting Inductive Bias in Transformer for Point Cloud Classification and SegmentationCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
Dynamic Local Feature Aggregation for Learning on Point CloudsCode1
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient FlowsCode0
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar dataCode0
Robustifying Point Cloud Networks by RefocusingCode0
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud ClassificationCode0
Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud ClassificationCode0
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
Boosting Point-BERT by Multi-choice TokensCode0
Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural NetworkCode0
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisCode0
AGConv: Adaptive Graph Convolution on 3D Point CloudsCode0
Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional EncodingCode0
Classifying point clouds at the facade-level using geometric features and deep learning networksCode0
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid ApproachCode0
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelCode0
PointManifoldCut: Point-wise Augmentation in the Manifold for Point CloudsCode0
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
PatchAugment: Local Neighborhood Augmentation in 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