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Active Learning for Point Cloud Semantic Segmentation via
  Spatial-Structural Diversity Reasoning
v1v2 (latest)

Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning

25 February 2022
Feifei Shao
Yawei Luo
Ping Liu
Jie Chen
Yezhou Yang
Yulei Lu
Junhao Xiao
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning"

36 / 36 papers shown
Title
The Devil is in the Labels: Noisy Label Correction for Robust Scene
  Graph Generation
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation
Lin Li
Long Chen
Yifeng Huang
Zhimeng Zhang
Songyang Zhang
Jun Xiao
NoLa
81
77
0
07 Jun 2022
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud
  Semantic Segmentation
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
Tsung-Han Wu
Yueh-Cheng Liu
Yu-Kai Huang
Hsin-Ying Lee
Hung-Ting Su
Ping Huang
Winston H. Hsu
3DPC
63
76
0
25 Jul 2021
Improving Weakly-supervised Object Localization via Causal Intervention
Improving Weakly-supervised Object Localization via Causal Intervention
Feifei Shao
Yawei Luo
Li Zhang
Lu Ye
Siliang Tang
Yi Yang
Jun Xiao
WSOL
67
25
0
21 Apr 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
109
122
0
11 Apr 2021
Multiple instance active learning for object detection
Multiple instance active learning for object detection
Tianning Yuan
Fang Wan
Mengying Fu
Jianzhuang Liu
Songcen Xu
Xiangyang Ji
QiXiang Ye
WSOD
98
124
0
06 Apr 2021
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D
  Semantic Segmentation
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
Zhengzhe Liu
Xiaojuan Qi
Chi-Wing Fu
3DPC
83
133
0
06 Apr 2021
MetaBox+: A new Region Based Active Learning Method for Semantic
  Segmentation using Priority Maps
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps
Pascal Colling
L. Roese-Koerner
Hanno Gottschalk
Matthias Rottmann
55
26
0
05 Oct 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang
Zhijian Liu
Shengyu Zhao
Chengyue Wu
Ji Lin
Hanrui Wang
Song Han
3DPC
114
643
0
31 Jul 2020
Sequential Graph Convolutional Network for Active Learning
Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
GNN
122
122
0
18 Jun 2020
Through the Looking Glass: Neural 3D Reconstruction of Transparent
  Shapes
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Zhengqin Li
Yu-Ying Yeh
Manmohan Chandraker
59
63
0
22 Apr 2020
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Yawei Luo
Ping Liu
T. Guan
Junqing Yu
Yi Yang
44
115
0
13 Apr 2020
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
Yawar Siddiqui
Julien P. C. Valentin
Matthias Nießner
68
159
0
26 Nov 2019
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
108
1,505
0
25 Nov 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic
  Segmentation
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang
Hengshuang Zhao
Shu Liu
Xiaoyong Shen
Chi-Wing Fu
Jiaya Jia
3DPC
79
193
0
23 Sep 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Chris Choy
JunYoung Gwak
Silvio Savarese
3DPC
176
1,796
0
18 Apr 2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu
Mohamed Boussaha
3DPC
69
152
0
03 Apr 2019
Significance-aware Information Bottleneck for Domain Adaptive Semantic
  Segmentation
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
Yawei Luo
Ping Liu
T. Guan
Junqing Yu
Yi Yang
61
186
0
01 Apr 2019
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network
Priyanka Mandikal
R. Venkatesh Babu
3DPC
64
117
0
25 Jan 2019
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Long Chen
Hanwang Zhang
Jun Xiao
Xiangnan He
Shiliang Pu
Shih-Fu Chang
89
159
0
06 Dec 2018
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
194
158
0
28 Nov 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
155
1,571
0
17 Nov 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
84
108
0
23 Oct 2018
Taking A Closer Look at Domain Shift: Category-level Adversaries for
  Semantics Consistent Domain Adaptation
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Yawei Luo
Liang Zheng
T. Guan
Junqing Yu
Yi Yang
OOD
79
722
0
25 Sep 2018
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Gusi Te
Wei Hu
Zongming Guo
Amin Zheng
3DPC
65
324
0
08 Jun 2018
Local Spectral Graph Convolution for Point Set Feature Learning
Local Spectral Graph Convolution for Point Set Feature Learning
Chu Wang
Babak Samari
Kaleem Siddiqi
3DPCGNN
82
372
0
15 Mar 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
260
2,454
0
23 Jan 2018
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN3DPC
195
1,257
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
123
3,731
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
3DPC3DV
366
11,164
0
07 Jun 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
3DVPINN3DPC
64
710
0
12 Apr 2017
Active Learning Using Uncertainty Information
Active Learning Using Uncertainty Information
Yazhou Yang
Marco Loog
40
73
0
27 Feb 2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV3DPC
174
892
0
03 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
3DH3DPC3DVPINN
500
14,384
0
02 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,654
0
06 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
437
43,875
0
01 May 2014
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