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3D Shape Classification

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Showing 26–50 of 82 papers

TitleStatusHype
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape RetrievalCode0
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph NetworkCode0
Triplet-Center Loss for Multi-View 3D Object RetrievalCode0
Unsupervised Deep Shape Descriptor With Point Distribution LearningCode0
MeshNet: Mesh Neural Network for 3D Shape RepresentationCode0
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
Multi-feature Distance Metric Learning for Non-rigid 3D Shape Retrieval—0
Non-rigid 3D shape retrieval based on multi-view metric learning—0
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds—0
Persistence-based Structural Recognition—0
Point Cloud Learning with Transformer—0
Potential Convolution: Embedding Point Clouds into Potential Fields—0
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition—0
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification—0
Rethinking Rotation Invariance with Point Cloud Registration—0
Robust 3D Shape Classification via Non-Local Graph Attention Network—0
RocNet: Recursive Octree Network for Efficient 3D Deep Representation—0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences—0
Shape retrieval of non-rigid 3d human models—0
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks—0
Sketch-based 3D Shape Retrieval using Convolutional Neural Networks—0
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification—0
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