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

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

IEEE International Conference on Computer Vision (ICCV), 2019
3 September 2019
Zhanghan Ke
Daoye Wang
Qiong Yan
Jimmy S. J. Ren
Rynson W. H. Lau
ArXiv (abs)PDFHTML

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

50 / 110 papers shown
Title
RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo
RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo
Jueun Ko
Hyewon Park
Hyesong Choi
Dongbo Min
TTA3DV
332
0
0
13 Nov 2025
Semi-Supervised Learning under General Causal Models
Semi-Supervised Learning under General Causal ModelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Archer Moore
Heejung Shim
Jingge Zhu
Mingming Gong
CML
141
3
0
26 Oct 2025
Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
Farouq Benchallal
A. Hafiane
Nicolas Ragot
R. Canals
124
0
0
12 Oct 2025
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Yaxin Hou
Bo Han
Yuheng Jia
Hui Liu
Junhui Hou
324
0
0
05 Oct 2025
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation
Haoran Xi
Chen Liu
Xiaolin Li
88
0
0
30 Jul 2025
Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions
Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions
Nagabhushan Somraj
S. H. Mupparaju
Adithyan Karanayil
R. Soundararajan
354
4
0
01 Jul 2025
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
Decoupled Competitive Framework for Semi-supervised Medical Image SegmentationEuropean Conference on Artificial Intelligence (ECAI), 2025
Jiahe Chen
Jiahe Ying
Shen Wang
Jianwei Zheng
117
0
0
30 May 2025
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than
Nhat-Anh Nguyen-Dang
Dung Nguyen
Salwa K. Al Khatib
Ahmed Elhagry
Hai T. Phan
Yihui He
Zhiqiang Shen
Marios Savvides
Dang T. Huynh
VLM
348
1
0
12 Mar 2025
A Unified Framework for Semi-Supervised Image Segmentation and Registration
A Unified Framework for Semi-Supervised Image Segmentation and RegistrationIEEE International Symposium on Biomedical Imaging (ISBI), 2025
Ruizhe Li
Grazziela Figueredo
Dorothee Auer
Rob Dineen
Paul Morgan
Xin Chen
175
0
0
05 Feb 2025
Lightweight Contenders: Navigating Semi-Supervised Text Mining through
  Peer Collaboration and Self Transcendence
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self TranscendenceNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Qianren Mao
Weifeng Jiang
Qingbin Liu
Chenghua Lin
Qian Li
Xianqing Wen
Jianxin Li
Jinhu Lu
269
0
0
01 Dec 2024
Enhancing Neural Network Interpretability with Feature-Aligned Sparse
  Autoencoders
Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders
Luke Marks
Alasdair Paren
David M. Krueger
Fazl Barez
AAML
146
16
0
02 Nov 2024
Table-LLM-Specialist: Language Model Specialists for Tables using
  Iterative Generator-Validator Fine-tuning
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning
Junjie Xing
Yeye He
Mengyu Zhou
Haoyu Dong
Shi Han
Dongmei Zhang
S. Chaudhuri
LMTD
172
5
0
16 Oct 2024
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D
  Semi-Supervised Medical Image Segmentation
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation
Zhan Fa
Shumeng Li
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
140
0
0
15 Oct 2024
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category DiscoveryNeural Information Processing Systems (NeurIPS), 2024
Haonan Lin
Wenbin An
Jiahao Wang
Yan Chen
Feng Tian
Mengmeng Wang
Guang Dai
Qianying Wang
Jingdong Wang
246
4
0
29 Sep 2024
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic
  Segmentation in Autonomous Driving
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving
Yuting Hong
Hui Xiao
Huazheng Hao
Xiaojie Qiu
Baochen Yao
Chengbin Peng
175
0
0
19 Sep 2024
EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
Hongcheng Ding
Xuanze Zhao
Zixiao Jiang
Shamsul Nahar Abdullah
Deshinta Arrova Dewi
193
3
0
23 Aug 2024
Decorrelating Structure via Adapters Makes Ensemble Learning Practical
  for Semi-supervised Learning
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
233
0
0
08 Aug 2024
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
333
0
0
31 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled
  Images
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
Mingyuan Fan
Yang Liu
Cen Chen
Ximeng Liu
AAML
96
0
0
13 Jul 2024
Cross Prompting Consistency with Segment Anything Model for
  Semi-supervised Medical Image Segmentation
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Juzheng Miao
Cheng Chen
Keli Zhang
Jie Chuai
Quanzheng Li
Pheng-Ann Heng
207
24
0
07 Jul 2024
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
Qiaomu Miao
Alexandros Graikos
Jingwei Zhang
Sounak Mondal
Minh Hoai
Dimitris Samaras
295
1
0
04 Jun 2024
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic
  Segmentation
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
Wooseok Shin
Hyun Joon Park
Jin Sob Kim
Sung Won Han
VLM
204
10
0
31 May 2024
Collaboration of Teachers for Semi-supervised Object Detection
Collaboration of Teachers for Semi-supervised Object Detection
Liyu Chen
Huaao Tang
Yi Wen
Hanting Chen
Wei Li
Junchao Liu
Jie Hu
244
1
0
22 May 2024
Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi
  Divergence
Robust Semi-supervised Learning via fff-Divergence and ααα-Rényi Divergence
Gholamali Aminian
Amirhossien Bagheri
Mahyar JafariNodeh
Radmehr Karimian
Mohammad Hossein Yassaee
153
2
0
01 May 2024
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is
  Critical for Semi-supervised Classification
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification
Jiaqi Wu
Junbiao Pang
Baochang Zhang
Qingming Huang
169
2
0
27 Mar 2024
PCT: Perspective Cue Training Framework for Multi-Camera BEV
  Segmentation
PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation
Haruya Ishikawa
Takumi Iida
Yoshinori Konishi
Yoshimitsu Aoki
168
4
0
19 Mar 2024
Semi-supervised Counting via Pixel-by-pixel Density Distribution
  Modelling
Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling
Hui Lin
Zhiheng Ma
Rongrong Ji
Yao Wang
Zhou Su
Xiaopeng Hong
Deyu Meng
117
4
0
23 Feb 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
382
0
0
18 Feb 2024
Self-supervised Reflective Learning through Self-distillation and Online Clustering for Speaker Representation Learning
Self-supervised Reflective Learning through Self-distillation and Online Clustering for Speaker Representation LearningIEEE Transactions on Audio, Speech, and Language Processing (IEEE TASLP), 2024
Danwei Cai
Zexin Cai
Ze Li
Ming Li
232
2
0
03 Jan 2024
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for
  Improving Segmentation of Medical Image with Ambiguous Boundaries
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries
Shuai Wang
Tengjin Weng
Jingyi Wang
Yang Shen
Zhidong Zhao
Yixiu Liu
Pengfei Jiao
Zhiming Cheng
Yaqi Wang
148
1
0
17 Nov 2023
Generating Unbiased Pseudo-labels via a Theoretically Guaranteed
  Chebyshev Constraint to Unify Semi-supervised Classification and Regression
Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression
Jiaqi Wu
Junbiao Pang
Qingming Huang
88
1
0
03 Nov 2023
Modeling the Uncertainty with Maximum Discrepant Students for
  Semi-supervised 2D Pose Estimation
Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose Estimation
Jiaqi Wu
Junbiao Pang
Qingming Huang
84
0
0
03 Nov 2023
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
Switching Temporary Teachers for Semi-Supervised Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2023
Jaemin Na
Jung-Woo Ha
HyungJin Chang
Dongyoon Han
Wonjun Hwang
253
49
0
28 Oct 2023
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose
  Estimation
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zhuoran Yu
Manchen Wang
Yanbei Chen
Paolo Favaro
Davide Modolo
3DH
139
1
0
29 Sep 2023
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised
  Learning
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised Learning
Lei Zhu
Zhanghan Ke
Rynson W. H. Lau
162
2
0
18 Sep 2023
SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with
  Simpler Solutions
SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler SolutionsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2023
Nagabhushan Somraj
Adithyan Karanayil
R. Soundararajan
155
51
0
07 Sep 2023
Semi-Supervised Semantic Segmentation via Marginal Contextual
  Information
Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Moshe Kimhi
Shai Kimhi
Evgenii Zheltonozhskii
Or Litany
Chaim Baskin
229
17
0
26 Aug 2023
Diverse Cotraining Makes Strong Semi-Supervised Segmentor
Diverse Cotraining Makes Strong Semi-Supervised SegmentorIEEE International Conference on Computer Vision (ICCV), 2023
Yijiang Li
Xinjiang Wang
Lihe Yang
Xue Jiang
Wayne Zhang
Ying Gao
170
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0
18 Aug 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic
  Segmentation
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationInternational Conference on Machine Learning (ICML), 2023
Jianfeng Wang
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
Thomas Lukasiewicz
UQCV
163
9
0
05 Aug 2023
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 classificationBiomedical Signal Processing and Control (BSPC), 2023
Md Junaid Mahmood
Pranaw Raj
Divyansh Agarwal
S. Kumari
Pravendra Singh
245
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10 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity AlignmentData mining and knowledge discovery (DMKD), 2023
Qijie Ding
Jie Yin
Daokun Zhang
Junbin Gao
555
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05 Jul 2023
CorrMatch: Label Propagation via Correlation Matching for
  Semi-Supervised Semantic Segmentation
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Bo Sun
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363
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Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical
  Image Segmentation
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190
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CiPR: An Efficient Framework with Cross-instance Positive Relations for
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ScarceNet: Animal Pose Estimation with Scarce Annotations
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Focus on Your Target: A Dual Teacher-Student Framework for
  Domain-adaptive Semantic Segmentation
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Xinyue Huo
Lingxi Xie
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198
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Self-training through Classifier Disagreement for Cross-Domain Opinion
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Kai Sun
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Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
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Shiman Li
Haoran Wang
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238
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SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representationsInternational Conference on Learning Representations (ICLR), 2023
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSLVLM
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Semi-Supervised Learning with Pseudo-Negative Labels for Image
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Semi-Supervised Learning with Pseudo-Negative Labels for Image ClassificationKnowledge-Based Systems (KBS), 2022
Hao Xu
Hui Xiao
Huazheng Hao
Li Dong
Xiaojie Qiu
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VLMSSL
115
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