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3D Shape Classification

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Showing 26–50 of 82 papers

TitleStatusHype
GIFT: A Real-time and Scalable 3D Shape Search Engine—0
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition—0
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition—0
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition—0
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges—0
Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation—0
Learning Attentive and Hierarchical Representations for 3D Shape Recognition—0
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval—0
Multi-View Representation is What You Need for Point-Cloud Pre-Training—0
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons—0
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks—0
3D Deep Shape Descriptor—0
3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds—0
3D Shape Classification Using Collaborative Representation based Projections—0
3D shape retrieval basing on representatives of classes—0
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 segmentation—0
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning—0
A Deeper Look at 3D Shape Classifiers—0
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval—0
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding—0
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning—0
A Stable Multi-Scale Kernel for Topological Machine Learning—0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views—0
Persistence-based Structural Recognition—0
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