Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization-Reference-Cited by-同舟云学术

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Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization

Published:2024-11 Issue: Volume:155 Page:110712
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Khan M.Q.^ORCID,Shahzad M.^ORCID,Khan S.A.,Fraz M.M.^ORCID,Zhu X.X.

Publisher

Elsevier BV

Reference44 articles.

1. A local tangent plane distance-based approach to 3D point cloud segmentation via clustering;Chen;Pattern Recognit.,2023

2. Segmentation of 3D point cloud data representing full human body geometry: A review;Krawczyk;Pattern Recognit.,2023

3. Continuous conditional random field convolution for point cloud segmentation;Yang;Pattern Recognit.,2022

4. FGPNet: A weakly supervised fine-grained 3D point clouds classification network;Shao;Pattern Recognit.,2023

5. Improving deep learning on point cloud by maximizing mutual information across layers;Wang;Pattern Recognit.,2022

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