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Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation
15 September 2022
Geng-Ming Liu
Oliver Matias van Kaick
Hui Huang
Ruizhen Hu
3DPC
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Papers citing
"Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation"
7 / 7 papers shown
Title
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu-Lin Liu
Chi-Wing Fu
Jiaya Jia
SSL
3DPC
120
115
0
15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
214
508
0
15 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
124
268
0
07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
622
0
21 Jul 2020
OccuSeg: Occupancy-aware 3D Instance Segmentation
Lei Han
Tian Zheng
Lan Xu
Lu Fang
3DPC
150
256
0
14 Mar 2020
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
875
0
03 Feb 2017
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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