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3D Shape Classification

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Papers

Showing 125 of 82 papers

TitleStatusHype
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation0
Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point CloudsCode1
Ensemble Quadratic Assignment Network for Graph Matching0
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition0
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point CloudsCode0
Multi-View Representation is What You Need for Point-Cloud Pre-Training0
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding0
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud UnderstandingCode1
Frequency-domain Learning for Volumetric-based 3D Data Perception0
Robust 3D Shape Classification via Non-Local Graph Attention Network0
Rethinking Rotation Invariance with Point Cloud Registration0
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in TransformersCode0
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape RecognitionCode1
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons0
Masked Discrimination for Self-Supervised Learning on Point CloudsCode1
diffConv: Analyzing Irregular Point Clouds with an Irregular ViewCode1
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds0
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph NetworkCode0
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views0
POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDSCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
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