ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.09559
  4. Cited By
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

18 February 2021
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
    CLL
ArXivPDFHTML

Papers citing "CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning"

50 / 143 papers shown
Title
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation
Negin Ghamsarian
Sahar Nasirihaghighi
Klaus Schoeffmann
Raphael Sznitman
16
0
0
12 May 2025
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
52
0
0
08 May 2025
SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling
SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling
Yasin Almalioglu
Andrzej Kucik
Geoffrey French
Dafni Antotsiou
Alexander Adam
Cedric Archambeau
21
0
0
17 Apr 2025
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
Weiwei Xing
Yue Cheng
Hongzhu Yi
Xiaohui Gao
Xiang Wei
Xiaoyu Guo
Yuming Zhang
Xinyu Pang
BDL
48
0
0
09 Apr 2025
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
Hritam Basak
Zhaozheng Yin
VLM
31
0
0
08 Apr 2025
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning
Pengcheng Zhou
L. Zhang
Wei Li
58
0
0
18 Mar 2025
DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D
  Semi-supervised Learning
DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning
Z. Chen
Bing Li
37
0
0
13 Nov 2024
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for
  Imbalanced Semi-supervised SAR target recognition
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
Xinzheng Zhang
Yuqing Luo
Guopeng Li
24
0
0
06 Nov 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking
  Classifier
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang
Szu-Wei Fu
Yu Tsao
32
0
0
29 Oct 2024
Shape Transformation Driven by Active Contour for Class-Imbalanced
  Semi-Supervised Medical Image Segmentation
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
Yuliang Gu
Yepeng Liu
Zhichao Sun
Jinchi Zhu
Yongchao Xu
L. Najman
MedIm
26
1
0
18 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
26
1
0
08 Oct 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
Divya J. Bajpai
M. Hanawal
31
0
0
06 Oct 2024
Hard Negative Sample Mining for Whole Slide Image Classification
Hard Negative Sample Mining for Whole Slide Image Classification
Wentao Huang
Xiaoling Hu
Shahira Abousamra
Prateek Prasanna
Chao Chen
VLM
31
5
0
03 Oct 2024
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for
  Semi-Supervised Learning
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
25
0
0
08 Aug 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed Learning
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
25
6
0
01 Aug 2024
Large-scale cervical precancerous screening via AI-assisted cytology
  whole slide image analysis
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis
Honglin Li
Yusuan Sun
Chenglu Zhu
Yunlong Zhang
Shichuan Zhang
...
Pingyi Chen
Jingxiong Li
Sunyi Zheng
Can Cui
Lin Yang
40
3
0
28 Jul 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical
  Research Question Answering
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Xiuying Chen
Tairan Wang
Taicheng Guo
Kehan Guo
Juexiao Zhou
Haoyang Li
Mingchen Zhuge
Jürgen Schmidhuber
Xin Gao
Xiangliang Zhang
30
2
0
24 Jul 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
45
1
0
22 Jul 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
24
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
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for
  Federated Semi-supervised Learning
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning
Marawan Elbatel
Hualiang Wang
Jixiang Chen
Hao Wang
Xiaomeng Li
FedML
55
0
0
14 Jul 2024
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic
  Semi-Supervised Medical Image Segmentation
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation
Qixiang Zhang
Haonan Wang
X. Li
29
0
0
10 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced
  Semi-Supervised Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
40
0
0
07 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
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised
  Learning
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning
Kai Gan
Tong Wei
Min-Ling Zhang
32
1
0
19 Jun 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
  and Inductive Inference
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
S. Park
Hyuk Kwon
Kwanghoon Sohn
Kibok Lee
OffRL
24
0
0
31 May 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias
  in Federated Semi-Supervised Learning
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Guogang Zhu
Xuefeng Liu
Xinghao Wu
Shaojie Tang
Chao Tang
Jianwei Niu
Hao Su
FedML
39
1
0
30 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
26
0
0
23 May 2024
Smooth Pseudo-Labeling
Smooth Pseudo-Labeling
Nikolaos Karaliolios
Hervé Le Borgne
Florian Chabot
34
0
0
23 May 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework
Dynamic Against Dynamic: An Open-set Self-learning Framework
Haifeng Yang
Chuanxing Geng
P. Yuen
Songcan Chen
31
0
0
27 Apr 2024
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced
  Learning Tasks
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks
Zitong Huang
Ze Chen
Bowen Dong
Chaoqi Liang
Erjin Zhou
Wangmeng Zuo
MoMe
CLL
44
3
0
25 Apr 2024
Incremental Self-training for Semi-supervised Learning
Incremental Self-training for Semi-supervised Learning
Member Ieee Jifeng Guo
Zhulin Liu
Senior Member Ieee Tong Zhang
F. I. C. L. Philip Chen
CLL
25
3
0
14 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised
  Learning
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng
Linyuan Zhou
Han Li
Jinming Su
Xiaoming Wei
Xiaoming Xu
29
4
0
01 Apr 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian
Harsh Rangwani
S. Takemori
Kunal Samanta
Yuhei Umeda
Venkatesh Babu Radhakrishnan
36
0
0
27 Mar 2024
Gradient-based Sampling for Class Imbalanced Semi-supervised Object
  Detection
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li
Xiangru Lin
Wei Zhang
Xiao Tan
Yingying Li
Junyu Han
Errui Ding
Jingdong Wang
Guanbin Li
34
8
0
22 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced
  Semi-Supervised Learning
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee
Heeyoung Kim
24
1
0
15 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Chaoqun Du
Yulin Wang
Shiji Song
Gao Huang
33
23
0
11 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
PRCL: Probabilistic Representation Contrastive Learning for
  Semi-Supervised Semantic Segmentation
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
Haoyu Xie
Changqi Wang
Jian-jun Zhao
Yang Liu
Jun Dan
Chong Fu
Baigui Sun
SSL
32
8
0
28 Feb 2024
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed
  Semi-Supervised Learning
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du
Yizeng Han
Gao Huang
32
4
0
21 Feb 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised
  Class-Imbalanced Learning
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi
Hyun-Dong Lee
Dong-Sig Han
Junseok Park
Heeyeon Koo
Byoung-Tak Zhang
22
1
0
14 Feb 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed
  Classification
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
Yanbiao Ma
Licheng Jiao
F. Liu
Shuyuan Yang
Xu Liu
Puhua Chen
15
10
0
21 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
25
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
27
6
0
17 Jan 2024
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud
  Semantic Segmentation via Decoupling Optimization
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization
Mengtian Li
Shaohui Lin
Zihan Wang
Yunhang Shen
Baochang Zhang
Lizhuang Ma
26
5
0
13 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
16
0
0
09 Jan 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Lan Li
Bowen Tao
Lu Han
De-Chuan Zhan
Han-jia Ye
SSL
24
3
0
27 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
13
9
0
25 Dec 2023
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy
  Labels
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Jichang Li
Guanbin Li
Hui Cheng
Zicheng Liao
Yizhou Yu
FedML
27
14
0
19 Dec 2023
CLAF: Contrastive Learning with Augmented Features for Imbalanced
  Semi-Supervised Learning
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning
Bowen Tao
Lan Li
Xin-Chun Li
De-Chuan Zhan
13
0
0
15 Dec 2023
123
Next