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A new weakly supervised approach for ALS point cloud semantic
  segmentation

A new weakly supervised approach for ALS point cloud semantic segmentation

4 October 2021
Puzuo Wang
W. Yao
    3DPC
ArXivPDFHTML

Papers citing "A new weakly supervised approach for ALS point cloud semantic segmentation"

24 / 24 papers shown
Title
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
  Segmentation: A Baseline Investigation
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He
Jihan Yang
Xiaojuan Qi
75
119
0
23 Jul 2021
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud
  Semantic Segmentation
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
Puzuo Wang
W. Yao
3DPC
35
9
0
05 May 2021
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point
  Clouds
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
Qingyong Hu
Bo Yang
Guangchi Fang
Yulan Guo
A. Leonardis
Niki Trigoni
Andrew Markham
3DPC
66
121
0
11 Apr 2021
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of
  High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and
  Multi-View-Stereo
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo
Michael Kölle
D. Laupheimer
S. Schmohl
Norbert Haala
Franz Rottensteiner
Jan Dirk Wegner
H. Ledoux
3DPC
3DV
86
98
0
10 Feb 2021
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network
  Leveraging Correlated Feature Mining and Geometric-Aware Modelling
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
Kangcheng Liu
Zhi Gao
F. Lin
Ben M. Chen
3DPC
52
57
0
17 Dec 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer
  Labels
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
Xun Xu
Gim Hee Lee
3DPC
57
93
0
08 Apr 2020
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation
  on Point Clouds
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Jiacheng Wei
Guosheng Lin
Kim-Hui Yap
Tzu-Yi Hung
Lihua Xie
3DPC
51
135
0
29 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
155
3,549
0
21 Jan 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
90
1,499
0
25 Nov 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
140
3,024
0
06 May 2019
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
154
2,535
0
18 Apr 2019
Label Propagation for Deep Semi-supervised Learning
Label Propagation for Deep Semi-supervised Learning
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
94
623
0
09 Apr 2019
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
314
5,103
0
09 Sep 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
255
6,138
0
24 Jan 2018
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN
3DPC
178
1,253
0
27 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
104
3,719
0
17 Nov 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
341
11,094
0
07 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
146
2,733
0
13 Apr 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
  Cloud Models
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov
Victor Lempitsky
3DV
74
983
0
04 Apr 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
481
14,302
0
02 Dec 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
181
2,554
0
07 Oct 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC
3DV
242
1,567
0
12 Apr 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
50
746
0
19 Mar 2016
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
95
985
0
06 Jun 2015
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