SOTAVerified

3D Point Cloud Classification

Papers

Showing 76100 of 202 papers

TitleStatusHype
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point CloudsCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
PointMixer: MLP-Mixer for Point Cloud UnderstandingCode1
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudCode1
Learning Inner-Group Relations on Point CloudsCode1
Learning to SampleCode1
A Closer Look at Few-Shot 3D Point Cloud ClassificationCode1
Dense-Resolution Network for Point Cloud Classification and SegmentationCode1
Attention-based Point Cloud Edge SamplingCode1
LPF-Defense: 3D Adversarial Defense based on Frequency AnalysisCode1
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud UnderstandingCode1
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?Code1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive SamplingCode1
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud ClassificationCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
PVT: Point-Voxel Transformer for Point Cloud LearningCode1
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersCode1
3D ShapeNets: A Deep Representation for Volumetric ShapesCode1
Self-supervised Point Cloud Representation Learning via Separating Mixed ShapesCode1
PointHop++: A Lightweight Learning Model on Point Sets for 3D ClassificationCode1
PointMixup: Augmentation for Point CloudsCode1
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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