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3D Shape Classification

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Papers

Showing 150 of 82 papers

TitleStatusHype
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
View-GCN: View-Based Graph Convolutional Network for 3D Shape AnalysisCode1
diffConv: Analyzing Irregular Point Clouds with an Irregular ViewCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point CloudsCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDSCode1
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape RecognitionCode1
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud UnderstandingCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
Learning Equivariant RepresentationsCode1
Fine-Grained 3D Shape Classification with Hierarchical Part-View AttentionsCode1
Masked Discrimination for Self-Supervised Learning on Point CloudsCode1
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval0
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation0
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing0
Design, Analysis and Application of A Volumetric Convolutional Neural Network0
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval0
Ensemble Diffusion for Retrieval0
Ensemble Quadratic Assignment Network for Graph Matching0
Facial Surface Analysis using Iso-Geodesic Curves in Three Dimensional Face Recognition System0
Frequency-domain Learning for Volumetric-based 3D Data Perception0
GIFT: A Real-time and Scalable 3D Shape Search Engine0
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition0
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition0
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition0
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges0
Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation0
Learning Attentive and Hierarchical Representations for 3D Shape Recognition0
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval0
Multi-View Representation is What You Need for Point-Cloud Pre-Training0
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons0
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks0
3D Deep Shape Descriptor0
3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds0
3D Shape Classification Using Collaborative Representation based Projections0
3D shape retrieval basing on representatives of classes0
3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)0
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation0
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning0
A Deeper Look at 3D Shape Classifiers0
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval0
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding0
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning0
A Stable Multi-Scale Kernel for Topological Machine Learning0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views0
Persistence-based Structural Recognition0
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