SOTAVerified

3D Point Cloud Classification

Papers

Showing 176–200 of 202 papers

TitleStatusHype
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis—0
Text2Model: Text-based Model Induction for Zero-shot Image Classification—0
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation—0
Interpolated Convolutional Networks for 3D Point Cloud Understanding—0
PointGuard: Provably Robust 3D Point Cloud Classification—0
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network—0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
OmniVec: Learning robust representations with cross modal sharing—0
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping—0
Automated Mobile Attention KPConv Networks via a Wide and Deep Predictor—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
Connecting Multi-modal Contrastive Representations—0
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook—0
Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation—0
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey—0
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification—0
DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification—0
On The Adversarial Robustness of 3D Point Cloud Classification—0
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification—0
MKConv: Multidimensional Feature Representation for Point Cloud Analysis—0
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis—0
Dual Transformer for Point Cloud Analysis—0
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks—0
Low-Density 3D Point Cloud Classification—0
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding—0
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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