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Self-Ensemling for 3D Point Cloud Domain Adaption

Self-Ensemling for 3D Point Cloud Domain Adaption

10 December 2021
Qing Li
Xiaojiang Peng
Chuan Yan
Pan Gao
Qi Hao
    3DPC
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Papers citing "Self-Ensemling for 3D Point Cloud Domain Adaption"

4 / 4 papers shown
Title
SCoDA: Domain Adaptive Shape Completion for Real Scans
SCoDA: Domain Adaptive Shape Completion for Real Scans
Yushuang Wu
Zizheng Yan
Ce Chen
Lai Wei
Xiao Li
Guanbin Li
Yihao Li
Shuguang Cui
Xiaoguang Han
33
11
0
20 Apr 2023
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
193
0
18 Oct 2019
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 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 J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
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