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FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

15 May 2022
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
Zhen Wu
Jindong Wang
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
ArXivPDFHTML

Papers citing "FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning"

21 / 21 papers shown
Title
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Yaxin Hou
Yuheng Jia
35
0
0
22 May 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
119
0
0
18 Mar 2025
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
94
0
0
15 Oct 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
101
10
0
14 Oct 2024
Exploring Semi-Supervised Learning for Online Mapping
Exploring Semi-Supervised Learning for Online Mapping
Adam Lilja
Erik Wallin
Junsheng Fu
Lars Hammarstrand
SSL
74
1
0
14 Oct 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Kun Song
Zhiquan Tan
Bochao Zou
Jiansheng Chen
Huimin Ma
Weiran Huang
64
1
0
25 Sep 2024
Robot Instance Segmentation with Few Annotations for Grasping
Robot Instance Segmentation with Few Annotations for Grasping
Moshe Kimhi
David Vainshtein
Chaim Baskin
Dotan Di Castro
73
2
0
01 Jul 2024
Towards Calibrated Deep Clustering Network
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
77
1
0
04 Mar 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
63
0
0
18 Feb 2024
USB: A Unified Semi-supervised Learning Benchmark for Classification
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
44
115
0
12 Aug 2022
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised
  Learning
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee
Seungjae Shin
Heeyoung Kim
CLL
36
91
0
20 Oct 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised
  Learning with Outliers
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers
Kuniaki Saito
Donghyun Kim
Kate Saenko
39
64
0
28 May 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
54
259
0
18 Feb 2021
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu
Daiki Ikami
Go Irie
Kiyoharu Aizawa
27
128
0
22 Jul 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
323
662
0
23 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
215
500
0
08 Mar 2020
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
170
2,375
0
11 Nov 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
66
826
0
08 Aug 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
84
2,306
0
29 Apr 2019
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
147
2,543
0
07 Oct 2016
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
56
1,369
0
09 Jul 2015
1