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Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study

Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study

8 June 2020
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
    3DPC
ArXivPDFHTML

Papers citing "Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study"

50 / 128 papers shown
Title
SqueezeSegV2: Improved Model Structure and Unsupervised Domain
  Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Bichen Wu
Xuanyu Zhou
Sicheng Zhao
Xiangyu Yue
Kurt Keutzer
3DPC
53
621
0
22 Sep 2018
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using
  Semi-supervised Learning
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning
Jilin Mei
Biao Gao
Donghao Xu
W. Yao
Xijun Zhao
Huijing Zhao
3DPC
59
69
0
03 Sep 2018
Fully-Convolutional Point Networks for Large-Scale Point Clouds
Fully-Convolutional Point Networks for Large-Scale Point Clouds
Dario Rethage
Johanna Wald
Jürgen Sturm
Nassir Navab
Federico Tombari
3DV
3DPC
64
182
0
21 Aug 2018
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
66
2,586
0
06 Aug 2018
Semantic Classification of 3D Point Clouds with Multiscale Spherical
  Neighborhoods
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods
Hugues Thomas
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Y. L. Gall
3DPC
44
130
0
01 Aug 2018
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
Yansen Wang
Tianyue Shi
Peng Yun
L. Tai
Ming-Yuan Liu
3DPC
45
121
0
17 Jul 2018
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
F. Saleh
M. S. Aliakbarian
Mathieu Salzmann
L. Petersson
J. Álvarez
46
154
0
16 Jul 2018
Tangent Convolutions for Dense Prediction in 3D
Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko
Jaesik Park
V. Koltun
Qian-Yi Zhou
3DV
3DPC
MDE
88
544
0
06 Jul 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
68
398
0
02 Jul 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
277
296
0
01 May 2018
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data
  Generation
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation
Florian Piewak
Peter Pinggera
Manuel Schäfer
David Peter
Beate Schwarz
N. Schneider
D. Pfeiffer
Markus Enzweiler
Johann Marius Zöllner
3DPC
55
62
0
26 Apr 2018
Monocular Semantic Occupancy Grid Mapping with Convolutional Variational
  Encoder-Decoder Networks
Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks
Chenyang Lu
M. V. D. van de Molengraft
Gijs Dubbelman
47
162
0
06 Apr 2018
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous
  Driving
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving
Xiangyu Yue
Bichen Wu
Sanjit A. Seshia
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
3DPC
36
208
0
31 Mar 2018
The ApolloScape Open Dataset for Autonomous Driving and its Application
The ApolloScape Open Dataset for Autonomous Driving and its Application
Xinyu Huang
Peng Wang
Xinjing Cheng
Dingfu Zhou
Qichuan Geng
Ruigang Yang
3DPC
58
567
0
16 Mar 2018
Training of Convolutional Networks on Multiple Heterogeneous Datasets
  for Street Scene Semantic Segmentation
Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation
Panagiotis Meletis
Gijs Dubbelman
SSeg
157
63
0
15 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
74
937
0
12 Mar 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
E. Kalogerakis
Ming-Hsuan Yang
Jan Kautz
3DPC
58
750
0
22 Feb 2018
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Qiangui Huang
Weiyue Wang
Ulrich Neumann
3DPC
98
455
0
13 Feb 2018
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Francis Engelmann
Theodora Kontogianni
Alexander Hermans
Bastian Leibe
3DPC
116
270
0
05 Feb 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
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
228
2,443
0
23 Jan 2018
Panoptic Segmentation
Panoptic Segmentation
Alexander Kirillov
Kaiming He
Ross B. Girshick
Carsten Rother
Piotr Dollár
104
1,435
0
03 Jan 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
119
1,040
0
02 Jan 2018
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for
  3D Scans
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Angela Dai
Daniel E. Ritchie
M. Bokeloh
Scott E. Reed
Jürgen Sturm
Matthias Nießner
3DV
67
296
0
29 Dec 2017
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
Xiaohang Zhan
Ziwei Liu
Ping Luo
Xiaoou Tang
Chen Change Loy
SSL
47
37
0
02 Dec 2017
Paris-Lille-3D: a large and high-quality ground truth urban point cloud
  dataset for automatic segmentation and classification
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard
Jean-Emmanuel Deschaud
F. Goulette
3DPC
3DV
64
283
0
30 Nov 2017
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham
Martin Engelcke
Laurens van der Maaten
3DPC
103
1,515
0
28 Nov 2017
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
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
133
5,166
0
10 Nov 2017
SEGCloud: Semantic Segmentation of 3D Point Clouds
SEGCloud: Semantic Segmentation of 3D Point Clouds
Lyne P. Tchapmi
Chris Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
3DPC
61
754
0
20 Oct 2017
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time
  Road-Object Segmentation from 3D LiDAR Point Cloud
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
Bichen Wu
Alvin Wan
Xiangyu Yue
Kurt Keutzer
3DPC
87
806
0
19 Oct 2017
Playing for Benchmarks
Playing for Benchmarks
Stephan R. Richter
Zeeshan Hayder
V. Koltun
76
470
0
21 Sep 2017
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSeg
VLM
87
704
0
11 Sep 2017
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic
  Parsing of Large-scale 3D Point Clouds
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds
Fangyu Liu
Shuaipeng Li
Liqiang Zhang
Chenghu Zhou
Rongtian Ye
Yuebin Wang
Jiwen Lu
3DPC
56
108
0
21 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
182
2,398
0
10 Jul 2017
Failing to Learn: Autonomously Identifying Perception Failures for
  Self-driving Cars
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
M. Ramanagopal
Cyrus Anderson
Ram Vasudevan
Matthew Johnson-Roberson
52
104
0
30 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
346
11,105
0
07 Jun 2017
Deep Projective 3D Semantic Segmentation
Deep Projective 3D Semantic Segmentation
Felix Järemo Lawin
Martin Danelljan
Patrik Tosteberg
Goutam Bhat
Fahad Shahbaz Khan
Michael Felsberg
3DPC
75
321
0
09 May 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
104
1,278
0
22 Apr 2017
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
Timo Hackel
Nikolay Savinov
Lubor Ladicky
Jan Dirk Wegner
Konrad Schindler
Marc Pollefeys
3DV
PINN
3DPC
51
709
0
12 Apr 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
295
8,130
0
15 Mar 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
142
497
0
11 Mar 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
466
4,058
0
14 Feb 2017
Exploiting saliency for object segmentation from image level labels
Exploiting saliency for object segmentation from image level labels
Seong Joon Oh
Rodrigo Benenson
Anna Khoreva
Zeynep Akata
Mario Fritz
Bernt Schiele
SSeg
396
200
0
28 Jan 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSL
VOS
OCL
71
525
0
19 Dec 2016
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
14,309
0
02 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
61
668
0
29 Nov 2016
Multi-View 3D Object Detection Network for Autonomous Driving
Multi-View 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen
Huimin Ma
Ji Wan
Bo Li
Tian Xia
3DPC
176
2,772
0
23 Nov 2016
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for
  Urban Autonomy
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy
Dan Barnes
William P. Maddern
Ingmar Posner
SSeg
68
123
0
05 Oct 2016
Built-in Foreground/Background Prior for Weakly-Supervised Semantic
  Segmentation
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
F. Saleh
Mohammad Sadegh Ali Akbarian
Mathieu Salzmann
L. Petersson
Stephen Gould
J. Álvarez
73
139
0
02 Sep 2016
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