SOTAVerified

Point Cloud Classification

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

Papers

Showing 5175 of 265 papers

TitleStatusHype
Regularization Strategy for Point Cloud via Rigidly Mixed SampleCode1
Rethinking the compositionality of point clouds through regularization in the hyperbolic spaceCode1
Revisiting Point Cloud Classification with a Simple and Effective BaselineCode1
Collect-and-Distribute Transformer for 3D Point Cloud AnalysisCode1
A Closer Look at Few-Shot 3D Point Cloud ClassificationCode1
Robust 3D Point Clouds Classification based on Declarative DefendersCode1
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud ClassifiersCode1
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
LPF-Defense: 3D Adversarial Defense based on Frequency AnalysisCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
Deep Declarative Networks: A New HopeCode1
Parameter-Efficient Person Re-identification in the 3D SpaceCode1
Point Set Voting for Partial Point Cloud AnalysisCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
Deep SetsCode1
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point CloudsCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
Dense-Resolution Network for Point Cloud Classification and SegmentationCode1
Implicit Convolutional Kernels for Steerable CNNsCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
Differentiable Euler Characteristic Transforms for Shape ClassificationCode1
MATE: Masked Autoencoders are Online 3D Test-Time LearnersCode1
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud ClassificationCode1
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient ApproximationCode1
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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