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SimMatch: Semi-supervised Learning with Similarity Matching

SimMatch: Semi-supervised Learning with Similarity Matching

14 March 2022
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
ArXivPDFHTML

Papers citing "SimMatch: Semi-supervised Learning with Similarity Matching"

50 / 101 papers shown
Title
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Linhao Qu
Shiman Li
Xiaoyuan Luo
Shaolei Liu
Qinhao Guo
Manning Wang
Zhijian Song
36
0
0
16 Apr 2025
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
Sixian Ding
Xu Jiang
Zhongjing Du
Jiaqi Cui
Xinyi Zeng
Yan Wang
50
0
0
24 Mar 2025
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
Jungsoo Lee
Debasmit Das
Munawar Hayat
Sungha Choi
Kyuwoong Hwang
Fatih Porikli
VLM
63
0
0
23 Mar 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
53
0
0
12 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
62
0
0
08 Mar 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
Rundong He
Yicong Dong
Lanzhe Guo
Yilong Yin
Tailin Wu
24
0
0
02 Mar 2025
A Unified Framework for Heterogeneous Semi-supervised Learning
Marzi Heidari
Abdullah Alchihabi
Hao Yan
Yuhong Guo
32
0
0
01 Mar 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Hanxuan Wang
Na Lu
Xueying Zhao
Yuxuan Yan
Kaipeng Ma
Kwoh Chee Keong
Gustavo Carneiro
NoLa
54
0
0
22 Feb 2025
Probability-density-aware Semi-supervised Learning
Probability-density-aware Semi-supervised Learning
Shuyang Liu
Ruiqiu Zheng
Yunhang Shen
Ke Li
Xing Sun
Zhou Yu
Shaohui Lin
28
0
0
08 Jan 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han
Jidong Yuan
Chixuan Wei
Zhongyang Yu
114
1
0
14 Dec 2024
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 Transcendence
Qianren Mao
Weifeng Jiang
J. Liu
Chenghua Lin
Qian Li
Xianqing Wen
Jianxin Li
Jinhu Lu
67
0
0
01 Dec 2024
Collaborative Feature-Logits Contrastive Learning for Open-Set
  Semi-Supervised Object Detection
Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection
Xinhao Zhong
Siyu Jiao
Yao Zhao
Y. X. Wei
62
0
0
20 Nov 2024
Browsing without Third-Party Cookies: What Do You See?
Browsing without Third-Party Cookies: What Do You See?
Maxwell Lin
Shihan Lin
Helen Wu
Karen Wang
Xiaowei Yang
BDL
51
0
0
14 Oct 2024
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
Haonan Lin
Wenbin An
Jiahao Wang
Yan Chen
Feng Tian
Mengmeng Wang
Guang Dai
Qianying Wang
Jingdong Wang
32
2
0
29 Sep 2024
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning:
  a Debiased Training Perspective
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective
Yu Wang
Yuxuan Yin
Peng Li
13
0
0
26 Sep 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
Zerun Wang
Liuyu Xiang
Lang Huang
Jiafeng Mao
Ling Xiao
Toshihiko Yamasaki
13
1
0
26 Sep 2024
Improving 3D Semi-supervised Learning by Effectively Utilizing All
  Unlabelled Data
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul
Zachary Patterson
Nizar Bouguila
24
0
0
21 Sep 2024
A Unified Contrastive Loss for Self-Training
A Unified Contrastive Loss for Self-Training
Aurélien Gauffre
Julien Horvat
Massih-Reza Amini
SSL
21
0
0
11 Sep 2024
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for
  Semi-Supervised Medical Image Segmentation
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
Ning Gao
Sanping Zhou
Le Wang
Nanning Zheng
AI4TS
16
2
0
08 Sep 2024
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for
  Semi-Supervised Fine-Grained Action Recognition
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Ishan Rajendrakumar Dave
Mamshad Nayeem Rizve
Mubarak Shah
AI4TS
21
2
0
02 Sep 2024
CRMSP: A Semi-supervised Approach for Key Information Extraction with
  Class-Rebalancing and Merged Semantic Pseudo-Labeling
CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
Qi Zhang
Yonghong Song
Pengcheng Guo
Yangyang Hui
22
0
0
19 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
34
1
0
16 Jul 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
33
2
0
22 Jun 2024
Effective Subset Selection Through The Lens of Neural Network Pruning
Effective Subset Selection Through The Lens of Neural Network Pruning
Noga Bar
Raja Giryes
CVBM
36
0
0
03 Jun 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with
  Synthetic Data
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data
Zerun Wang
Jiafeng Mao
Liuyu Xiang
Toshihiko Yamasaki
20
0
0
27 May 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under
  Class Mismatch
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch
Qikai Wang
Rundong He
Yongshun Gong
Chunxiao Ren
Hao Sun
Xiaoshui Huang
Yilong Yin
16
0
0
25 May 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Yuanpeng He
Lijian Li
21
0
0
23 May 2024
SIAVC: Semi-Supervised Framework for Industrial Accident Video
  Classification
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
Zuoyong Li
Qinghua Lin
Haoyi Fan
Tiesong Zhao
David Zhang
24
0
0
23 May 2024
MaskMatch: Boosting Semi-Supervised Learning Through Mask
  Autoencoder-Driven Feature Learning
MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning
Wenjin Zhang
Keyi Li
Sen Yang
Chenyang Gao
Wanzhao Yang
Sifan Yuan
I. Marsic
28
1
0
10 May 2024
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image
  Segmentation
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi
Jian Pang
Bingfeng Zhang
Weifeng Liu
25
9
0
01 May 2024
A Method of Moments Embedding Constraint and its Application to
  Semi-Supervised Learning
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
Michael Majurski
Sumeet Menon
Parniyan Farvardin
David Chapman
29
3
0
27 Apr 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled
  Examples in Semi-supervised Learning
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
Shijie Fang
Qianhan Feng
Tong Lin
29
0
0
18 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image
  Classification
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
Qi Han
Zhibo Tian
Chengwei Xia
Kun Zhan
SSL
21
5
0
17 Apr 2024
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model
  Deployment by Interactive Causality Enabled Self-Labeling
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
Yutian Ren
Yuqi He
Xuyin Zhang
A. Yen
G. P. Li
35
0
0
09 Apr 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from
  Federated Learning
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
Joshua C. Zhao
Ahaan Dabholkar
Atul Sharma
Saurabh Bagchi
FedML
23
2
0
26 Mar 2024
Learning from Reduced Labels for Long-Tailed Data
Learning from Reduced Labels for Long-Tailed Data
Meng Wei
Zhongnian Li
Yong Zhou
Xinzheng Xu
19
0
0
25 Mar 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Shambhavi Mishra
Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
35
2
0
22 Mar 2024
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
Guopeng Li
Ming Qian
Gui-Song Xia
19
17
0
21 Mar 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced
  Feature-Level Contrastive Learning
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng
Lujing Xie
Shijie Fang
Tong Lin
19
6
0
04 Mar 2024
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
21
4
0
19 Dec 2023
Mixed Pseudo Labels for Semi-Supervised Object Detection
Mixed Pseudo Labels for Semi-Supervised Object Detection
Ze-Yi Chen
Wenwei Zhang
Xinjiang Wang
Kai Chen
Zhi Wang
ObjD
29
10
0
12 Dec 2023
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater
  Detection under Varying Scenario Distributions
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions
Yifan Liu
Tiecheng Song
Chengye Xian
Ruiyuan Chen
Yi Zhao
Rui Li
Tan Guo
27
1
0
11 Dec 2023
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
10
5
0
06 Dec 2023
How Many Validation Labels Do You Need? Exploring the Design Space of
  Label-Efficient Model Ranking
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
Zhengyu Hu
Jieyu Zhang
Yue Yu
Yuchen Zhuang
Hui Xiong
16
5
0
04 Dec 2023
Adinkra Symbol Recognition using Classical Machine Learning and Deep
  Learning
Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning
Michael Adjeisah
K. Asamoah
Martha Asamoah Yeboah
Raji Rafiu King
Godwin Ferguson Achaab
Kingsley Adjei
20
0
0
27 Nov 2023
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set
  Semi-Supervised Learning
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning
Yue Fan
Anna Kukleva
Dengxin Dai
Bernt Schiele
22
8
0
17 Nov 2023
Refining the ONCE Benchmark with Hyperparameter Tuning
Refining the ONCE Benchmark with Hyperparameter Tuning
Maksim Golyadkin
Alexander Gambashidze
Ildar Nurgaliev
Ilya Makarov
18
1
0
10 Nov 2023
SemiGPC: Distribution-Aware Label Refinement for Imbalanced
  Semi-Supervised Learning Using Gaussian Processes
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
Abdelhak Lemkhenter
Manchen Wang
L. Zancato
Gurumurthy Swaminathan
Paolo Favaro
Davide Modolo
30
0
0
03 Nov 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
30
8
0
26 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Khanh-Binh Nguyen
16
3
0
24 Oct 2023
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