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3D Shape Classification

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Papers

Showing 125 of 82 papers

TitleStatusHype
Deep Learning for 3D Point Clouds: A SurveyCode1
diffConv: Analyzing Irregular Point Clouds with an Irregular ViewCode1
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud UnderstandingCode1
Learning Equivariant RepresentationsCode1
Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point CloudsCode1
Masked Discrimination for Self-Supervised Learning on Point CloudsCode1
Fine-Grained 3D Shape Classification with Hierarchical Part-View AttentionsCode1
View-GCN: View-Based Graph Convolutional Network for 3D Shape AnalysisCode1
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape RecognitionCode1
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDSCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
A Topological Nomenclature for 3D Shape Analysis in ConnectomicsCode0
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape RecognitionCode0
MeshNet: Mesh Neural Network for 3D Shape RepresentationCode0
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point CloudsCode0
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in TransformersCode0
Deep Learning for Hand Gesture Recognition on Skeletal DataCode0
Generating 3D Adversarial Point CloudsCode0
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape RetrievalCode0
Cross-Domain 3D Equivariant Image EmbeddingsCode0
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformationCode0
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