SOTAVerified

3D Point Cloud Classification

Papers

Showing 5175 of 202 papers

TitleStatusHype
APSNet: Attention Based Point Cloud SamplingCode1
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-trainingCode1
Rethinking the compositionality of point clouds through regularization in the hyperbolic spaceCode1
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud UnderstandingCode1
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel PromptingCode1
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable PoolingCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
Points to Patches: Enabling the Use of Self-Attention for 3D Shape RecognitionCode1
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsCode1
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep LearningCode1
LPF-Defense: 3D Adversarial Defense based on Frequency AnalysisCode1
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided SamplingCode1
Implicit Autoencoder for Point-Cloud Self-Supervised Representation LearningCode1
PRA-Net: Point Relation-Aware Network for 3D Point Cloud AnalysisCode1
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisCode1
diffConv: Analyzing Irregular Point Clouds with an Irregular ViewCode1
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point ModelingCode1
PointMixer: MLP-Mixer for Point Cloud UnderstandingCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDSCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
Self-supervised Point Cloud Representation Learning via Separating Mixed ShapesCode1
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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