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SimMatch: Semi-supervised Learning with Similarity Matching
v1v2 (latest)

SimMatch: Semi-supervised Learning with Similarity Matching

Computer Vision and Pattern Recognition (CVPR), 2022
14 March 2022
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
ArXiv (abs)PDFHTMLGithub (92★)

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

50 / 108 papers shown
Title
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
157
15
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
294
3
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
Gan Hu
Guanxin Wan
Bing Wang
287
7
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
285
6
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
164
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
209
12
0
17 Nov 2023
Refining the ONCE Benchmark with Hyperparameter Tuning
Refining the ONCE Benchmark with Hyperparameter TuningIEEE Access (IEEE Access), 2023
Maksim Golyadkin
Alexander Gambashidze
Ildar Nurgaliev
Ilya Makarov
150
2
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
Luca Zancato
Gurumurthy Swaminathan
Paolo Favaro
Davide Modolo
246
0
0
03 Nov 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
OTMatch: Improving Semi-Supervised Learning with Optimal TransportInternational Conference on Machine Learning (ICML), 2023
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
199
9
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 learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Khanh-Binh Nguyen
233
10
0
24 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble ProjectorIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Khanh-Binh Nguyen
116
7
0
24 Oct 2023
Rethinking Scale Imbalance in Semi-supervised Object Detection for
  Aerial Images
Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images
Ruixiang Zhang
Chang Xu
Fang Xu
Wen Yang
Guangjun He
Huai Yu
Gui-Song Xia
172
3
0
23 Oct 2023
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
185
5
0
08 Oct 2023
Cross-head mutual Mean-Teaching for semi-supervised medical image
  segmentation
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation
Wei Li
Ruifeng Bian
Wenyi Zhao
Weijing Xu
Huihua Yang
307
1
0
08 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
220
17
0
04 Oct 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in
  Semi-Supervised Learning
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2023
Guan Gui
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
AAML
166
10
0
07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch SizeInternational Symposium on Information Theory (ISIT), 2023
John Chen
Chen Dun
Anastasios Kyrillidis
127
4
0
07 Sep 2023
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
Guy Hacohen
D. Weinshall
SSL
132
2
0
27 Aug 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint
  Inliers and Outliers Utilization
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers UtilizationIEEE International Conference on Computer Vision (ICCV), 2023
Zekun Li
Lei Qi
Yinghuan Shi
Yang Gao
127
41
0
25 Aug 2023
CoNe: Contrast Your Neighbours for Supervised Image Classification
CoNe: Contrast Your Neighbours for Supervised Image Classification
Mingkai Zheng
Shan You
Lang Huang
Xiu Su
Fei Wang
Chao Qian
Xiaogang Wang
Chang Xu
VLM
126
0
0
21 Aug 2023
Towards Semi-supervised Learning with Non-random Missing Labels
Towards Semi-supervised Learning with Non-random Missing LabelsIEEE International Conference on Computer Vision (ICCV), 2023
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
125
20
0
17 Aug 2023
Boosting Semi-Supervised Learning by bridging high and low-confidence
  predictions
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
Khanh-Binh Nguyen
Joon-Sung Yang
179
18
0
15 Aug 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Shrinking Class Space for Enhanced Certainty in Semi-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2023
Lihe Yang
Zhen Zhao
Lei Qi
Yu Qiao
Yinghuan Shi
Hengshuang Zhao
112
23
0
13 Aug 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
SimMatchV2: Semi-Supervised Learning with Graph ConsistencyIEEE International Conference on Computer Vision (ICCV), 2023
Mingkai Zheng
Shan You
Lang Huang
Chen Luo
Fei Wang
Chao Qian
Chang Xu
SSL
125
16
0
13 Aug 2023
Systematic comparison of semi-supervised and self-supervised learning
  for medical image classification
Systematic comparison of semi-supervised and self-supervised learning for medical image classificationComputer Vision and Pattern Recognition (CVPR), 2023
Zhe Huang
Ruijie Jiang
Shuchin Aeron
M. C. Hughes
SSLOOD
261
12
0
18 Jul 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
213
12
0
10 Jul 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clusteringComputer Vision and Pattern Recognition (CVPR), 2023
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
193
42
0
13 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled DataAAAI Conference on Artificial Intelligence (AAAI), 2023
Shuvendu Roy
Ali Etemad
SSL
108
6
0
02 Jun 2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Semi-Supervised and Long-Tailed Object Detection with CascadeMatchInternational Journal of Computer Vision (IJCV), 2023
Yuhang Zang
Kaiyang Zhou
Chen Huang
Chen Change Loy
182
14
0
24 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label ConfigurationsNeural Information Processing Systems (NeurIPS), 2023
Hao Chen
Ankit Shah
Yongfeng Zhang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
232
15
0
22 May 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text
  Mining
DisCo: Distilled Student Models Co-training for Semi-supervised Text MiningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Weifeng Jiang
Qianren Mao
Chenghua Lin
Jianxin Li
Ting Deng
Weiyi Yang
Liang Luo
147
4
0
20 May 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
214
27
0
14 Apr 2023
Self-training with dual uncertainty for semi-supervised medical image
  segmentation
Self-training with dual uncertainty for semi-supervised medical image segmentation
Zhanhong Qiu
Haitao Gan
Mingzhi Shi
Zhongwei Huang
Zhi Yang
170
2
0
10 Apr 2023
Backdoor Defense via Adaptively Splitting Poisoned Dataset
Backdoor Defense via Adaptively Splitting Poisoned DatasetComputer Vision and Pattern Recognition (CVPR), 2023
Kuofeng Gao
Yang Bai
Jindong Gu
Yong-Liang Yang
Shutao Xia
AAML
143
66
0
23 Mar 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised LearningComputer Vision and Pattern Recognition (CVPR), 2023
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
140
23
0
22 Mar 2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised
  Learning
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Yang Yu
Danruo Deng
Fu-Lun Liu
Yueming Jin
Qi Dou
Guangyong Chen
Pheng-Ann Heng
EDLBDL
310
5
0
21 Mar 2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Boosting Semi-Supervised Learning by Exploiting All Unlabeled DataComputer Vision and Pattern Recognition (CVPR), 2023
Yuhao Chen
X. Tan
Borui Zhao
Zhaowei Chen
Renjie Song
Jiajun Liang
Xuequan Lu
169
56
0
20 Mar 2023
Pseudo-label Correction and Learning For Semi-Supervised Object
  Detection
Pseudo-label Correction and Learning For Semi-Supervised Object Detection
Yulin He
Wei Chen
Kevin J. Liang
Yusong Tan
Zhengfa Liang
Yulan Guo
123
5
0
06 Mar 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few LabelsNeural Information Processing Systems (NeurIPS), 2023
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffMVLM
428
49
0
21 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAMLBDL
163
0
0
31 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Hao Chen
R. Tao
Yue Fan
Yidong Wang
Yongfeng Zhang
Bernt Schiele
Xingxu Xie
Bhiksha Raj
Marios Savvides
231
197
0
26 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Improving Open-Set Semi-Supervised Learning with Self-SupervisionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
311
10
0
24 Jan 2023
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
258
10
0
12 Jan 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Neighborhood-Regularized Self-Training for Learning with Few LabelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Ran Xu
Yue Yu
Hejie Cui
Xuan Kan
Yanqiao Zhu
Joyce C. Ho
Chao Zhang
Carl Yang
SSL
190
27
0
10 Jan 2023
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary LabelingNeural Networks (NN), 2022
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
311
11
0
13 Dec 2022
Evaluating Zero-cost Active Learning for Object Detection
Evaluating Zero-cost Active Learning for Object Detection
Dominik Probst
Hasnain Raza
E. Rodner
VLMObjD
141
1
0
08 Dec 2022
Parametric Information Maximization for Generalized Category Discovery
Parametric Information Maximization for Generalized Category DiscoveryIEEE International Conference on Computer Vision (ICCV), 2022
Florent Chiaroni
Jose Dolz
Imtiaz Masud Ziko
A. Mitiche
Ismail Ben Ayed
196
38
0
01 Dec 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Yongfeng Zhang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
154
14
0
20 Nov 2022
Contrastive Credibility Propagation for Reliable Semi-Supervised
  Learning
Contrastive Credibility Propagation for Reliable Semi-Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Brody Kutt
Pralay Ramteke
Xavier Mignot
P. Toman
Nandini Ramanan
Sujit Rokka Chhetri
Shan Huang
Min Du
W. Hewlett
269
0
0
17 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for
  Semi-Supervised Learning
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Zhongying Deng
Rihuan Ke
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
164
0
0
17 Nov 2022
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