SOTAVerified

3D Point Cloud Classification

Papers

Showing 101–125 of 202 papers

TitleStatusHype
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsCode1
Masked Autoencoders for Point Cloud Self-supervised LearningCode2
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep LearningCode1
LPF-Defense: 3D Adversarial Defense based on Frequency AnalysisCode1
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided SamplingCode1
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP FrameworkCode2
Benchmarking Robustness of 3D Point Cloud Recognition Against Common CorruptionsCode2
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud ClassificationCode0
Implicit Autoencoder for Point-Cloud Self-Supervised Representation LearningCode1
On Automatic Data Augmentation for 3D Point Cloud ClassificationCode0
PRA-Net: Point Relation-Aware Network for 3D Point Cloud AnalysisCode1
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisCode1
diffConv: Analyzing Irregular Point Clouds with an Irregular ViewCode1
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point ModelingCode1
PointMixer: MLP-Mixer for Point Cloud UnderstandingCode1
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification—0
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
PatchAugment: Local Neighborhood Augmentation in Point Cloud ClassificationCode0
Dynamic Local Geometry Capture in 3D PointCloud ClassificationCode0
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
Automated Mobile Attention KPConv Networks via A Wide & Deep Predictor—0
POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDSCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
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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
6RepSurf-UOverall Accuracy94.7—Unverified
7ReConOverall Accuracy94.7—Unverified
8ULIP + PointMLPOverall Accuracy94.7—Unverified
9AsymDSD-B* (no voting)Overall 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
9PCT+RSMixError Rate0.17—Unverified
10DGCNN+PointCutMix-RError Rate0.17—Unverified