SOTAVerified

3D Point Cloud Classification

Papers

Showing 126150 of 202 papers

TitleStatusHype
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis0
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification0
MKConv: Multidimensional Feature Representation for Point Cloud Analysis0
Dual Transformer for Point Cloud Analysis0
Low-Density 3D Point Cloud Classification0
A Simple Strategy to Provable Invariance via Orbit Mapping0
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling0
PointManifold: Using Manifold Learning for Point Cloud Classification0
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization0
Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks0
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network0
Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification0
Multi-view Convolutional Neural Networks for 3D Shape Recognition0
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?0
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning0
OmniVec: Learning robust representations with cross modal sharing0
Efficient and Stable Graph Scattering Transforms via Pruning0
On The Adversarial Robustness of 3D Point Cloud Classification0
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks0
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding0
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds0
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation0
Automated Mobile Attention KPConv Networks via a Wide and Deep Predictor0
Automated Mobile Attention KPConv Networks via A Wide & Deep Predictor0
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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