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MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency
  Regularization

MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization

27 March 2022
Yue Duan
Zhen Zhao
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
Yang Gao
ArXivPDFHTML

Papers citing "MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization"

7 / 7 papers shown
Title
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection
  for Semi-supervised Fine-Grained Learning
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
30
4
0
19 Dec 2023
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
22
10
0
13 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised
  Semantic Segmentation
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Zhen Zhao
Lihe Yang
Sifan Long
Jimin Pi
Luping Zhou
Jingdong Wang
18
73
0
09 Dec 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised
  Semantic Segmentation
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Zhen Zhao
Sifan Long
Jimin Pi
Jingdong Wang
Luping Zhou
21
29
0
21 Nov 2022
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
X. Li
Kwang-Ting Cheng
28
13
0
22 Nov 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed
  Self-Training
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai
Peter Bailis
Gregory Valiant
OT
43
43
0
17 Feb 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
212
508
0
15 Jan 2021
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