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"

43 / 143 papers shown
Title
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
32
12
0
20 Nov 2022
An interpretable imbalanced semi-supervised deep learning framework for
  improving differential diagnosis of skin diseases
An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases
Futian Weng
Yuanting Ma
J. Sun
Shijun Shan
Qiyuan Li
Jianping Zhu
Yang Wang
Yan Xu
34
0
0
20 Nov 2022
Class-Level Confidence Based 3D Semi-Supervised Learning
Class-Level Confidence Based 3D Semi-Supervised Learning
Zhimin Chen
Longlong Jing
Liang Yang
Yingwei Li
Bing Li
26
17
0
18 Oct 2022
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Pengchong Qiao
Zhidan Wei
Yu Wang
Zhennan Wang
Guoli Song
Fan Xu
Xiang Ji
Chang-rui Liu
Jie Chen
24
19
0
16 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
23
3
0
06 Oct 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang
Mingxuan Xia
Yixuan Li
Yuren Mao
Lei Feng
Gang Chen
J. Zhao
51
38
0
21 Sep 2022
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Hui Xiao
Li Dong
Kangkang Song
Hao Xu
Shuibo Fu
Diqun Yan
Chengbin Peng
35
26
0
03 Sep 2022
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical
  Image Classification
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification
Zhixiong Yang
Junwen Pan
Yanzhan Yang
Xiaozhou Shi
Hong-Yu Zhou
Zhicheng Zhang
Cheng Bian
VLM
MedIm
AI4TS
23
27
0
01 Sep 2022
Tunable Hybrid Proposal Networks for the Open World
Tunable Hybrid Proposal Networks for the Open World
Matthew J. Inkawhich
Nathan Inkawhich
H. Li
Yiran Chen
32
2
0
23 Aug 2022
Label-Noise Learning with Intrinsically Long-Tailed Data
Label-Noise Learning with Intrinsically Long-Tailed Data
Yang Lu
Yiliang Zhang
Bo Han
Y. Cheung
Hanzi Wang
NoLa
48
17
0
21 Aug 2022
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
24
113
0
12 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised
  Learning
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
Yue Duan
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
OOD
23
11
0
09 Aug 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang
Xixi Jia
Quanziang Wang
Yichen Wu
Deyu Meng
25
16
0
28 Jul 2022
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
C. Miao
Xiansheng Hua
Hanwang Zhang
34
18
0
29 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Z. Yu
Yin Li
Yong Jae Lee
14
0
0
13 Jun 2022
Masked Unsupervised Self-training for Label-free Image Classification
Masked Unsupervised Self-training for Label-free Image Classification
Junnan Li
Silvio Savarese
Steven C. H. Hoi
VLM
SSL
18
12
0
07 Jun 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual Recognition
Lu Yang
He Jiang
Q. Song
Jun Guo
13
123
0
27 May 2022
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Tong Wei
Qianqian Liu
Jiang-Xin Shi
Wei-Wei Tu
Lan-Zhe Guo
31
14
0
26 May 2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node
  Classification
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Liang Zeng
Lanqing Li
Zi-Chao Gao
P. Zhao
Jian Li
27
22
0
23 May 2022
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised
  Semantic Segmentation
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation
Jiashuo Fan
Bin-Bin Gao
Huan Jin
Lihui Jiang
12
58
0
20 May 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
185
258
0
15 May 2022
TOV: The Original Vision Model for Optical Remote Sensing Image
  Understanding via Self-supervised Learning
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning
Chao Tao
Ji Qi
Guo Zhang
Qing Zhu
Weipeng Lu
Haifeng Li
42
40
0
10 Apr 2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Yueming Zhang
Xingxu Yao
Chao-Jung Liu
F. Chen
Xiaolin Song
Tengfei Xing
Runbo Hu
Hua Chai
Pengfei Xu
Guoshan Zhang
ObjD
36
7
0
09 Apr 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic
  Segmentation
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
22
42
0
18 Mar 2022
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised
  Learning Through Hierarchical Contrastive Learning
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
Manuel Tran
S. J. Wagner
Melanie Boxberg
T. Peng
SSL
17
12
0
14 Mar 2022
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point
  Clouds for Closing Domain Gap
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
Y. Chen
Zihao Wang
Longkun Zou
Ke Chen
Kui Jia
3DPC
24
9
0
08 Mar 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang
Zhi-Li Wu
Long Lian
Stella X. Yu
36
92
0
05 Jan 2022
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced
  Classification by Training on Random Noise Images
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
Shiran Zada
Itay Benou
Michal Irani
29
25
0
16 Dec 2021
Revisiting Consistency Regularization for Semi-Supervised Learning
Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan
Anna Kukleva
Bernt Schiele
18
58
0
10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
16
43
0
08 Dec 2021
DAFormer: Improving Network Architectures and Training Strategies for
  Domain-Adaptive Semantic Segmentation
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Lukas Hoyer
Dengxin Dai
Luc Van Gool
AI4CE
36
450
0
29 Nov 2021
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
24
90
0
20 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu
Fangyun Wei
Han Hu
Qiwei Ye
J. Cui
Liwei Wang
25
153
0
11 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
18
558
0
09 Oct 2021
Learning from Crowds with Sparse and Imbalanced Annotations
Learning from Crowds with Sparse and Imbalanced Annotations
Ye Shi
Shao-Yuan Li
Sheng-Jun Huang
24
5
0
11 Jul 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing
  Self-Training
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Fangyuan Zhang
Tianxiang Pan
Bin Wang
31
54
0
11 Jul 2021
Structured Sparse R-CNN for Direct Scene Graph Generation
Structured Sparse R-CNN for Direct Scene Graph Generation
Yao Teng
Limin Wang
3DPC
GNN
26
53
0
21 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
36
62
0
10 Jun 2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Ju He
Adam Kortylewski
Shaokang Yang
Shuai Liu
Cheng Yang
Changhu Wang
Alan Yuille
6
24
0
01 Jun 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjD
VLM
74
39
0
17 Feb 2021
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
Zhuowei Wang
Jing Jiang
Bo Han
Lei Feng
Bo An
Gang Niu
Guodong Long
NoLa
33
17
0
02 Dec 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
260
457
0
11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
Previous
123