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Reliability-Adaptive Consistency Regularization for Weakly-Supervised
  Point Cloud Segmentation

Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation

9 March 2023
Zhonghua Wu
Yicheng Wu
Guosheng Lin
Jianfei Cai
    3DPC
ArXivPDFHTML

Papers citing "Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation"

12 / 12 papers shown
Title
Towards Modality-agnostic Label-efficient Segmentation with
  Entropy-Regularized Distribution Alignment
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
32
0
0
29 Aug 2024
ProCNS: Progressive Prototype Calibration and Noise Suppression for
  Weakly-Supervised Medical Image Segmentation
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation
Y. Liu
L. Lin
K. Wong
X. Tang
30
2
0
25 Jan 2024
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
28
12
0
25 May 2023
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for
  Generalized Few-Shot Segmentation
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Weide Liu
Zhonghua Wu
Yang Zhao
Yuming Fang
Chuan-Sheng Foo
Jun Cheng
Guosheng Lin
VLM
23
14
0
24 Mar 2023
PointMatch: A Consistency Training Framework for Weakly Supervised
  Semantic Segmentation of 3D Point Clouds
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds
Yushuang Wu
Zizheng Yan
Shengcai Cai
Guanbin Li
Yizhou Yu
Xiaoguang Han
Shuguang Cui
3DPC
3DV
33
16
0
22 Feb 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
255
862
0
15 Oct 2021
Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu
Z. Ge
Donghao Zhang
Minfeng Xu
Lei Zhang
Yong-quan Xia
Jianfei Cai
OOD
SSL
77
231
0
21 Sep 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
53
108
0
06 Aug 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
127
203
0
27 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
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
241
509
0
15 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
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
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
14,103
0
02 Dec 2016
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