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FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

15 October 2021
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
    AAML
ArXivPDFHTML

Papers citing "FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling"

50 / 411 papers shown
Title
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
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
Ying Zang
Chenglong Fu
Runlong Cao
Didi Zhu
Min Zhang
Wenjun Hu
Lanyun Zhu
Tianrun Chen
32
6
0
08 Feb 2024
Knowledge Distillation for Road Detection based on cross-model
  Semi-Supervised Learning
Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning
Wanli Ma
Oktay Karakuş
Paul L. Rosin
16
1
0
07 Feb 2024
A General Framework for Learning from Weak Supervision
A General Framework for Learning from Weak Supervision
Hao Chen
Jindong Wang
Lei Feng
Xiang Li
Yidong Wang
Xing Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
26
2
0
02 Feb 2024
Computer Vision for Primate Behavior Analysis in the Wild
Computer Vision for Primate Behavior Analysis in the Wild
Richard Vogg
Timo Lüddecke
Jonathan Henrich
Sharmita Dey
Matthias Nuske
...
Alexander Gail
Stefan Treue
H. Scherberger
F. Worgotter
Alexander S. Ecker
33
3
0
29 Jan 2024
A Survey on Data Augmentation in Large Model Era
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MA
VLM
49
23
0
27 Jan 2024
Memory Consistency Guided Divide-and-Conquer Learning for Generalized
  Category Discovery
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Yuanpeng Tu
Zhun Zhong
Yuxi Li
Hengshuang Zhao
38
0
0
24 Jan 2024
Adaptive Global-Local Representation Learning and Selection for
  Cross-Domain Facial Expression Recognition
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Yuefang Gao
Yuhao Xie
Zeke Zexi Hu
Tianshui Chen
Liang Lin
CVBM
28
3
0
20 Jan 2024
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim
Kanghoon Yoon
Yeonjun In
Jinyoung Moon
Donghyun Kim
Chanyoung Park
33
8
0
18 Jan 2024
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced
  Clustering
P2^22OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Chuyu Zhang
Hui Ren
Xuming He
34
6
0
17 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Kuo Yang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
29
0
0
09 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs
VLLaVO: Mitigating Visual Gap through LLMs
Shuhao Chen
Yulong Zhang
Weisen Jiang
Jiangang Lu
Yu Zhang
VLM
54
2
0
06 Jan 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
Huiling Qin
Xianyuan Zhan
Yuanxun Li
Yu Zheng
27
0
0
28 Dec 2023
Three Heads Are Better Than One: Complementary Experts for Long-Tailed
  Semi-supervised Learning
Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma
Ismail Elezi
Jiankang Deng
Weiming Dong
Changsheng Xu
16
9
0
25 Dec 2023
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
32
4
0
19 Dec 2023
Not Every Side Is Equal: Localization Uncertainty Estimation for
  Semi-Supervised 3D Object Detection
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection
Chuxin Wang
Wenfei Yang
Tianzhu Zhang
3DPC
29
5
0
16 Dec 2023
DIRECT: Deep Active Learning under Imbalance and Label Noise
DIRECT: Deep Active Learning under Imbalance and Label Noise
Shyam Nuggehalli
Jifan Zhang
Lalit P. Jain
Robert D. Nowak
26
9
0
14 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
40
10
0
12 Dec 2023
CLASS-M: Adaptive stain separation-based contrastive learning with
  pseudo-labeling for histopathological image classification
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
Bodong Zhang
Hamid Manoochehri
M. M. Ho
Fahimeh Fooladgar
Yosep Chong
Beatrice S. Knudsen
Deepika Sirohi
Tolga Tasdizen
40
4
0
12 Dec 2023
RankMatch: A Novel Approach to Semi-Supervised Label Distribution
  Learning Leveraging Inter-label Correlations
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations
Kouzhiqiang Yucheng Xie
Jing Wang
Yuheng Jia
Boyu Shi
Xin Geng
29
0
0
11 Dec 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with
  Noisy Labels
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
Wanxing Chang
Ye-ling Shi
Jingya Wang
OT
38
12
0
11 Dec 2023
Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors
Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors
Tongkun Guan
Wei Shen
Xuehang Yang
Xuehui Wang
Xiaokang Yang
34
7
0
08 Dec 2023
Interactive Reweighting for Mitigating Label Quality Issues
Interactive Reweighting for Mitigating Label Quality Issues
Weikai Yang
Yukai Guo
Jing Wu
Zheng Wang
Lan-Zhe Guo
Yu-Feng Li
Shixia Liu
31
5
0
08 Dec 2023
Boosting Prompt-Based Self-Training With Mapping-Free Automatic
  Verbalizer for Multi-Class Classification
Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification
Yoo-Seok Kho
Jaehee Kim
Pilsung Kang
VLM
28
0
0
08 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty
Transferable Candidate Proposal with Bounded Uncertainty
Kyeongryeol Go
Kye-Hyeon Kim
29
0
0
07 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
21
5
0
06 Dec 2023
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault
  Diagnosis
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis
Florent Forest
Olga Fink
25
0
0
05 Dec 2023
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Arun V. Reddy
William Paul
Corban Rivera
Ketul Shah
Celso M. de Melo
Rama Chellappa
37
4
0
05 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
26
5
0
04 Dec 2023
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small
  Expert-Labeled Tweets for Foodborne Illness Detection
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection
Ruofan Hu
Dongyu Zhang
Dandan Tao
Huayi Zhang
Hao Feng
Elke A. Rundensteiner
FedML
31
4
0
02 Dec 2023
Self-Evolving Neural Radiance Fields
Self-Evolving Neural Radiance Fields
Jaewoo Jung
Jisang Han
Jiwon Kang
Seongchan Kim
Minseop Kwak
Seungryong Kim
23
2
0
02 Dec 2023
Match me if you can: Semantic Correspondence Learning with Unpaired
  Images
Match me if you can: Semantic Correspondence Learning with Unpaired Images
Jiwon Kim
Byeongho Heo
Sangdoo Yun
Seungryong Kim
Dongyoon Han
25
0
0
30 Nov 2023
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language
  Guidance
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
Lukas Hoyer
D. Tan
Muhammad Ferjad Naeem
Luc Van Gool
F. Tombari
VLM
MLLM
36
16
0
27 Nov 2023
ConstraintMatch for Semi-constrained Clustering
ConstraintMatch for Semi-constrained Clustering
Jann Goschenhofer
Bernd Bischl
Z. Kira
32
1
0
26 Nov 2023
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios
Swarna Kamlam Ravindran
Carlo Tomasi
31
0
0
25 Nov 2023
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation
  Networks for Remote Sensing Imagery
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
Wanli Ma
Oktay Karakuş
Paul L. Rosin
26
1
0
22 Nov 2023
Leveraging Unlabeled Data for 3D Medical Image Segmentation through
  Self-Supervised Contrastive Learning
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
Sanaz Karimijafarbigloo
Reza Azad
Yury Velichko
Ulas Bagci
Dorit Merhof
44
1
0
21 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
32
8
0
17 Nov 2023
FireMatch: A Semi-Supervised Video Fire Detection Network Based on
  Consistency and Distribution Alignment
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment
Qinghua Lin
Zuoyong Li
Kun Zeng
Haoyi Fan
Wei Li
Xiaoguang Zhou
21
7
0
09 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
Artyom Gadetsky
Maria Brbić
22
6
0
06 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
13
0
0
03 Nov 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External
  Guidance
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
Song Wang
Zhen Tan
Ruocheng Guo
Wenlin Yao
NoLa
25
20
0
02 Nov 2023
Generalized Category Discovery with Clustering Assignment Consistency
Generalized Category Discovery with Clustering Assignment Consistency
Xiangli Yang
Xinglin Pan
Irwin King
Zenglin Xu
28
2
0
30 Oct 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
29
17
0
29 Oct 2023
Rethinking Semi-Supervised Federated Learning: How to co-train
  fully-labeled and fully-unlabeled client imaging data
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data
Pramit Saha
Divyanshu Mishra
J. A. Noble
FedML
41
8
0
28 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
41
11
0
28 Oct 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
35
8
0
26 Oct 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness
  for Semi-Supervised Learning
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Zhuo Huang
Li Shen
Jun-chen Yu
Bo Han
Tongliang Liu
FedML
26
21
0
25 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
18
3
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 Projector
Khanh-Binh Nguyen
27
2
0
24 Oct 2023
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