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3D Shape Classification

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Papers

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Showing 26–50 of 82 papers

TitleStatusHype
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons—0
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds—0
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph NetworkCode0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views—0
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning—0
Point Cloud Learning with Transformer—0
Potential Convolution: Embedding Point Clouds into Potential Fields—0
RocNet: Recursive Octree Network for Efficient 3D Deep Representation—0
Learning Attentive and Hierarchical Representations for 3D Shape Recognition—0
Unsupervised Deep Shape Descriptor With Point Distribution LearningCode0
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation—0
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges—0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences—0
Shape retrieval of non-rigid 3d human models—0
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval—0
A Topological Nomenclature for 3D Shape Analysis in ConnectomicsCode0
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition—0
View N-gram Network for 3D Object Retrieval—0
Rethinking Loss Design for Large-scale 3D Shape Retrieval—0
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification—0
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing—0
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks—0
Equivariant Multi-View NetworksCode0
Non-rigid 3D shape retrieval based on multi-view metric learning—0
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning—0
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