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Points to Patches: Enabling the Use of Self-Attention for 3D Shape
  Recognition

Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition

8 April 2022
Axel Berg
Magnus Oskarsson
Mark O'Connor
    3DPC
    ViT
ArXivPDFHTML

Papers citing "Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition"

13 / 13 papers shown
Title
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds
Said Ohamouddou
Mohamed Ohamouddou
Hanaa El Afia
A. E. Afia
Rafik Lasri
R. Chiheb
3DPC
47
0
0
31 Mar 2025
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey
  and Outlook
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook
Huang Zhang
Changshuo Wang
Shengwei Tian
Baoli Lu
Liping Zhang
X. Ning
Xiao Bai
3DPC
23
99
0
05 Nov 2023
GAM : Gradient Attention Module of Optimization for Point Clouds
  Analysis
GAM : Gradient Attention Module of Optimization for Point Clouds Analysis
Haotian Hu
Fanyi Wang
Jingwen Su
Hongtao Zhou
Yaonong Wang
Laifeng Hu
Yanhao Zhang
Zhiwang Zhang
3DPC
32
13
0
19 Mar 2023
Image as Set of Points
Image as Set of Points
Xu Ma
Yuqian Zhou
Huan Wang
Can Qin
Bin Sun
Chang Liu
Yun Fu
VLM
35
48
0
02 Mar 2023
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
Pavlo Melnyk
Andreas Robinson
M. Felsberg
Maarten Wadenback
3DPC
16
2
0
26 Nov 2022
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud
  Classification and Segmentation
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation
Dening Lu
K. Gao
Qian Xie
Linlin Xu
Jonathan Li
3DPC
ViT
21
4
0
21 Sep 2022
Advanced Feature Learning on Point Clouds using Multi-resolution
  Features and Learnable Pooling
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
Kevin Tirta Wijaya
Dong-Hee Paek
Seung-Hyun Kong
3DPC
12
20
0
20 May 2022
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
282
1,490
0
27 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Dogyoon Lee
Jaeha Lee
Junhyeop Lee
Hyeongmin Lee
Minhyeok Lee
Sungmin Woo
Sangyoun Lee
3DPC
134
72
0
03 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
193
419
0
01 Feb 2021
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Kirill Mazur
Victor Lempitsky
3DPC
46
39
0
22 Jul 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
147
760
0
30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
1