SOTAVerified

3D Point Cloud Classification

Papers

Showing 151–175 of 202 papers

TitleStatusHype
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification—0
PointVector: A Vector Representation In Point Cloud AnalysisCode0
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding—0
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud ClassificationCode0
On Automatic Data Augmentation for 3D Point Cloud ClassificationCode0
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification—0
Dynamic Local Geometry Capture in 3D PointCloud ClassificationCode0
PatchAugment: Local Neighborhood Augmentation in Point Cloud ClassificationCode0
Automated Mobile Attention KPConv Networks via A Wide & Deep Predictor—0
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis—0
Adaptive Graph Convolution for Point Cloud AnalysisCode0
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis—0
MKConv: Multidimensional Feature Representation for Point Cloud Analysis—0
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and SegmentationCode0
Training or Architecture? How to Incorporate Invariance in Neural Networks—0
Dual Transformer for Point Cloud Analysis—0
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks—0
PointGuard: Provably Robust 3D Point Cloud Classification—0
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks—0
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification—0
PointManifold: Using Manifold Learning for Point Cloud Classification—0
On The Adversarial Robustness of 3D Point Cloud Classification—0
PointMask: Towards Interpretable and Bias-Resilient Point Cloud ProcessingCode0
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisCode0
Efficient and Stable Graph Scattering Transforms via Pruning—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