SOTAVerified

3D Point Cloud Classification

Papers

Showing 101125 of 202 papers

TitleStatusHype
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight AveragingCode1
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud AnalysisCode1
Towards Compact 3D Representations via Point Feature Enhancement Masked AutoencodersCode1
Transductive Zero-Shot Learning for 3D Point Cloud ClassificationCode1
Walk in the Cloud: Learning Curves for Point Clouds Shape AnalysisCode1
Zero-Shot Learning on 3D Point Cloud Objects and BeyondCode1
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis0
Connecting Multi-modal Contrastive Representations0
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook0
PointMoment:Mixed-Moment-based Self-Supervised Representation Learning for 3D Point Clouds0
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation0
Training or Architecture? How to Incorporate Invariance in Neural Networks0
Text2Model: Text-based Model Induction for Zero-shot Image Classification0
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification0
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey0
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification0
DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification0
Interpolated Convolutional Networks for 3D Point Cloud Understanding0
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network0
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View0
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation0
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping0
PointGuard: Provably Robust 3D Point Cloud Classification0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction0
Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PointGSTOverall Accuracy95.3Unverified
2Mamba3D + Point-MAEOverall Accuracy95.1Unverified
3ReCon++Overall Accuracy95Unverified
4PointGPTOverall Accuracy94.9Unverified
5point2vecOverall Accuracy94.8Unverified
6RepSurf-UOverall Accuracy94.7Unverified
7ReConOverall Accuracy94.7Unverified
8ULIP + PointMLPOverall Accuracy94.7Unverified
9AsymDSD-B* (no voting)Overall Accuracy94.7Unverified
10PointMLP+HyCoReOverall Accuracy94.5Unverified
#ModelMetricClaimedVerifiedStatus
1OmniVec2Overall Accuracy97.2Unverified
2PointGSTOverall Accuracy96.18Unverified
3OmniVecOverall Accuracy96.1Unverified
4GPSFormerOverall Accuracy95.4Unverified
5ReCon++Overall Accuracy95.25Unverified
6AsymDSD-B* (no voting)Overall Accuracy93.72Unverified
7PointGPTOverall Accuracy93.4Unverified
8GPSFormer-eliteOverall Accuracy93.3Unverified
9Mamba3DOverall Accuracy92.64Unverified
10Mamba3D (no voting)Overall Accuracy91.81Unverified
#ModelMetricClaimedVerifiedStatus
1PointNetError Rate0.28Unverified
2SimpleViewError Rate0.27Unverified
3RSCNNError Rate0.26Unverified
4DGCNNError Rate0.26Unverified
5PCTError Rate0.26Unverified
6PointNet++Error Rate0.24Unverified
7PointNet++/+PointMixupError Rate0.19Unverified
8PointNet++/+PointCutMix-RError Rate0.19Unverified
9PCT+RSMixError Rate0.17Unverified
10DGCNN+PointCutMix-RError Rate0.17Unverified