ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.01804
  4. Cited By
Dual Student: Breaking the Limits of the Teacher in Semi-supervised
  Learning

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning

3 September 2019
Zhanghan Ke
Daoye Wang
Qiong Yan
Jimmy S. J. Ren
Rynson W. H. Lau
ArXivPDFHTML

Papers citing "Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning"

39 / 39 papers shown
Title
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
51
0
0
31 Jul 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
46
0
0
18 Feb 2024
SPLAL: Similarity-based pseudo-labeling with alignment loss for
  semi-supervised medical image classification
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification
Md Junaid Mahmood
Pranaw Raj
Divyansh Agarwal
S. Kumari
Pravendra Singh
31
7
0
10 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Qijie Ding
Jie Yin
Daokun Zhang
Junbin Gao
56
4
0
05 Jul 2023
CorrMatch: Label Propagation via Correlation Matching for
  Semi-Supervised Semantic Segmentation
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Bo Sun
Yuqi Yang
Le Zhang
Ming-Ming Cheng
Qibin Hou
29
25
0
07 Jun 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee K. Wong
46
16
0
14 Apr 2023
Focus on Your Target: A Dual Teacher-Student Framework for
  Domain-adaptive Semantic Segmentation
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation
Xinyue Huo
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
29
8
0
16 Mar 2023
Self-training through Classifier Disagreement for Cross-Domain Opinion
  Target Extraction
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction
Kai Sun
Richong Zhang
Samuel Mensah
Nikolaos Aletras
Yongyi Mao
Xudong Liu
26
1
0
28 Feb 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
35
6
0
07 Feb 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
43
9
0
12 Jan 2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image
  Classification
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
Hao Xu
Hui Xiao
Huazheng Hao
Li Dong
Xiaojie Qiu
Chengbin Peng
VLM
SSL
16
22
0
10 Jan 2023
Robust Domain Adaptive Object Detection with Unified Multi-Granularity
  Alignment
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
Libo Zhang
Wenzhang Zhou
Heng Fan
Tiejian Luo
Haibin Ling
ObjD
21
12
0
01 Jan 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
35
10
0
13 Dec 2022
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
52
0
0
11 Nov 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
  Best of Both Students
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
Xueye Zheng
Yuan Luo
Hao Wang
Chong Fu
Lin Wang
ViT
41
18
0
06 Sep 2022
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Hui Xiao
Li Dong
Kangkang Song
Hao Xu
Shuibo Fu
Diqun Yan
Chengbin Peng
35
26
0
03 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud
  Segmentation
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Zhonghua Wu
Yicheng Wu
Guosheng Lin
Jianfei Cai
Chen Qian
3DPC
32
23
0
19 Jul 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based
  Filtering
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering
Yingda Yin
Yingcheng Cai
He Wang
Baoquan Chen
26
16
0
29 Mar 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency
  Regularization
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan
Zhen Zhao
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
Yang Gao
30
33
0
27 Mar 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic
  Segmentation
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
30
42
0
18 Mar 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao
Ju Shen
Jin Xu
Bin Zhong
Li Xiao
29
3
0
17 Feb 2022
Towards Continuous Consistency Axiom
Towards Continuous Consistency Axiom
M. Klopotek
R. A. Klopotek
16
5
0
12 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic
  Segmentation
Self Semi Supervised Neural Architecture Search for Semantic Segmentation
Loïc Pauletto
Massih-Reza Amini
Nicolas Winckler
SSL
SSeg
35
1
0
29 Jan 2022
CrossRectify: Leveraging Disagreement for Semi-supervised Object
  Detection
CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection
Cheng Ma
Xingjia Pan
QiXiang Ye
Fan Tang
Weiming Dong
Changsheng Xu
45
14
0
26 Jan 2022
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
  Segmentation: A Baseline Investigation
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He
Jihan Yang
Xiaojuan Qi
15
115
0
23 Jul 2021
Semi-supervised Semantic Segmentation with Directional Context-aware
  Consistency
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai
Zhuotao Tian
Li Jiang
Shu Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
50
207
0
27 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep
  Semi-Supervised Classification
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
P. Sellars
Angelica I. Aviles-Rivero
Carola-Bibiane Schönlieb
29
8
0
08 Jun 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency
  and Heterogeneous Perturbation
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation
Hong-Yu Zhou
Chengdi Wang
Haofeng Li
Gang Wang
Shu Zhen Zhang
Wei-min Li
Yizhou Yu
19
48
0
03 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Fang Wen
23
17
0
01 Jun 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
Yogesh S Rawat
M. Shah
241
509
0
15 Jan 2021
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke
Di Qiu
Kaican Li
Qiong Yan
Rynson W. H. Lau
28
247
0
12 Aug 2020
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid
  Constrained Semi-Supervised Learning and Dual-UNet
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet
Hongxu Yang
Caifeng Shan
Alexander F. Kolen
Peter H. N. de With
11
26
0
25 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
166
198
0
23 Mar 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain
  Adaptation on Person Re-identification
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
Yixiao Ge
Dapeng Chen
Hongsheng Li
33
555
0
06 Jan 2020
Knowledge Transfer Graph for Deep Collaborative Learning
Knowledge Transfer Graph for Deep Collaborative Learning
Soma Minami
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
30
9
0
10 Sep 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
205
243
0
14 Jun 2018
1