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DAPnet: A Double Self-attention Convolutional Network for Point Cloud
  Semantic Labeling

DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling

18 April 2020
Li Chen
Zewei Xu
Qing Zhu
Haozhe Huang
Shaowen Wang
Haifeng Li
    3DPC
ArXivPDFHTML

Papers citing "DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling"

14 / 14 papers shown
Title
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
124
2,518
0
18 Apr 2019
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class
  Graph Cut Algorithm (MCGC)
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
Jonathan Williams
Carola-Bibiane Schönlieb
T. Swinfield
Juheon Lee
Xiaohao Cai
L. Qie
David A. Coomes
3DPC
20
46
0
20 Mar 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
98
1,552
0
17 Nov 2018
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic
  Segmentation
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
Mingyang Jiang
Yiran Wu
Tianqi Zhao
Zelin Zhao
Cewu Lu
3DPC
37
399
0
02 Jul 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
208
6,076
0
24 Jan 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
311
129,831
0
12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
237
11,000
0
07 Jun 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
522
10,699
0
19 Feb 2017
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 Guibas
3DH
3DPC
3DV
PINN
366
14,191
0
02 Dec 2016
Dual Attention Networks for Multimodal Reasoning and Matching
Dual Attention Networks for Multimodal Reasoning and Matching
Hyeonseob Nam
Jung-Woo Ha
Jeonghee Kim
65
666
0
02 Nov 2016
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Bo Li
Tianlei Zhang
Tian Xia
3DPC
30
616
0
29 Aug 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
221
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
498
149,474
0
22 Dec 2014
Generalized Max Pooling
Generalized Max Pooling
Naila Murray
Florent Perronnin
34
206
0
02 Jun 2014
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