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CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
v1v2 (latest)

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

Computer Vision and Pattern Recognition (CVPR), 2021
18 February 2021
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
    CLL
ArXiv (abs)PDFHTMLGithub (100★)

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

50 / 153 papers shown
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
282
19
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
230
14
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
216
3
0
14 Feb 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed
  Classification
Geometric Prior Guided Feature Representation Learning for Long-Tailed ClassificationInternational Journal of Computer Vision (IJCV), 2024
Yanbiao Ma
Licheng Jiao
Fan Liu
Shuyuan Yang
Xu Liu
Puhua Chen
221
21
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
227
11
0
18 Jan 2024
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced
  Clustering
P2^22OT: Progressive Partial Optimal Transport for Deep Imbalanced ClusteringInternational Conference on Learning Representations (ICLR), 2024
Chuyu Zhang
Hui Ren
Xuming He
285
11
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 OptimizationPattern Recognition (Pattern Recogn.), 2024
Mengtian Li
Shaohui Lin
Zihan Wang
Chunjiang Ge
Baochang Zhang
Lizhuang Ma
230
16
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
Yunbo Wang
Xiao-Ping Zhang
186
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
183
6
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
179
16
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
218
25
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 LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Bowen Tao
Lan Li
Xin-Chun Li
De-Chuan Zhan
218
0
0
15 Dec 2023
ImbaGCD: Imbalanced Generalized Category Discovery
ImbaGCD: Imbalanced Generalized Category Discovery
Ziyun Li
Ben Dai
Furkan Simsek
Christoph Meinel
Haojin Yang
187
6
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 DetectionBigData Congress [Services Society] (BSS), 2023
Ruofan Hu
Dongyu Zhang
Dandan Tao
Huayi Zhang
Hao Feng
Elke A. Rundensteiner
FedML
186
5
0
02 Dec 2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric
  Learning with Autoregressive Transformers
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive TransformersComputer Vision and Pattern Recognition (CVPR), 2023
Ioannis Kakogeorgiou
Spyros Gidaris
Konstantinos Karantzalos
N. Komodakis
ViTOCL
425
30
0
01 Dec 2023
Learning Part Segmentation from Synthetic Animals
Learning Part Segmentation from Synthetic Animals
Jiawei Peng
Ju He
Prakhar Kaushik
Zihao Xiao
Jiteng Mu
Yaoyao Liu
283
3
0
30 Nov 2023
Meta Co-Training: Two Views are Better than One
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger
Dimitrios I. Diochnos
VLM
701
5
0
29 Nov 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for
  Named Entity Recognition
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Haocheng Luo
Wei Tan
Ngoc Dang Nguyen
Lan Du
252
3
0
02 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
InstanT: Semi-supervised Learning with Instance-dependent ThresholdsNeural Information Processing Systems (NeurIPS), 2023
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
222
21
0
29 Oct 2023
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
Cong Wang
Xiaofeng Cao
Lanzhe Guo
Zenglin Shi
181
4
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 learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Khanh-Binh Nguyen
273
11
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
164
7
0
24 Oct 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image
  Segmentation
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationNeural Information Processing Systems (NeurIPS), 2023
Haonan Wang
Xiaomeng Li
271
53
0
17 Oct 2023
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating
  Holistic Understanding of Crowd Scenes
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
Shuai Zhao
Xiaopeng Hong
Zhongliang Guo
Ognjen Arandjelović
Carl R. Donovan
325
18
0
16 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery
Towards Distribution-Agnostic Generalized Category DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Jianhong Bai
Zuo-Qiang Liu
Hualiang Wang
Ruizhe Chen
Lianrui Mu
Xiaomeng Li
Qiufeng Wang
Yang Feng
Jian Wu
Haoji Hu
412
19
0
02 Oct 2023
Few-shot Object Detection in Remote Sensing: Lifting the Curse of
  Incompletely Annotated Novel Objects
Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel ObjectsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Fahong Zhang
Yilei Shi
Zhitong Xiong
Xiaoxiang Zhu
ObjD
232
38
0
19 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
202
2
0
11 Sep 2023
Frequency-Aware Self-Supervised Long-Tailed Learning
Frequency-Aware Self-Supervised Long-Tailed Learning
Ci-Siang Lin
Min-Hung Chen
Y. Wang
263
5
0
09 Sep 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
133
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
215
19
0
15 Aug 2023
Ensemble Modeling for Multimodal Visual Action Recognition
Ensemble Modeling for Multimodal Visual Action Recognition
Jyoti Kini
Sarah Fleischer
I. Dave
M. Shah
251
2
0
10 Aug 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image
  Classification
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang
Jiawei Wu
Tao Wang
Zuoyong Li
Anastasia Ioannou
OOD
218
7
0
29 Jul 2023
Semi-Supervised Medical Image Segmentation with Co-Distribution
  Alignment
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang
Zhongzheng Huang
Jiawei Wu
Yuanzheng Cai
Zuoyong Li
OOD
244
5
0
24 Jul 2023
DHC: Dual-debiased Heterogeneous Co-training Framework for
  Class-imbalanced Semi-supervised Medical Image Segmentation
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Hong Wang
Xuelong Li
209
59
0
22 Jul 2023
Space Engage: Collaborative Space Supervision for Contrastive-based
  Semi-Supervised Semantic Segmentation
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Changqi Wang
Haoyu Xie
Yuhui Yuan
Chong Fu
Xiangyu Yue
VLM
199
15
0
19 Jul 2023
KEST: Kernel Distance Based Efficient Self-Training for Improving
  Controllable Text Generation
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text GenerationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Yuxi Feng
Xiaoyuan Yi
L. Lakshmanan
Xing Xie
185
1
0
17 Jun 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely
  Annotated Training Data
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training DataAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Qingyu Tan
Lu Xu
Lidong Bing
Hwee Tou Ng
222
6
0
16 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper CalibrationEuropean Conference on Computer Vision (ECCV), 2023
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
Michael Felsberg
335
3
0
07 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence
  Calibration
Perception and Semantic Aware Regularization for Sequential Confidence CalibrationComputer Vision and Pattern Recognition (CVPR), 2023
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
AI4TS
285
3
0
31 May 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
230
14
0
24 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
Wujian Peng
Zejia Weng
Hengduo Li
Zuxuan Wu
135
0
0
22 May 2023
Semi-Supervised Graph Imbalanced Regression
Semi-Supervised Graph Imbalanced RegressionKnowledge Discovery and Data Mining (KDD), 2023
Gang Liu
Tong Zhao
Eric Inae
Te Luo
Meng Jiang
245
27
0
20 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningNeural Information Processing Systems (NeurIPS), 2023
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
270
32
0
04 May 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Cost-Sensitive Self-Training for Optimizing Non-Decomposable MetricsNeural Information Processing Systems (NeurIPS), 2023
Harsh Rangwani
Shrinivas Ramasubramanian
S. Takemori
Kato Takashi
Yuhei Umeda
Venkatesh Babu Radhakrishnan
227
4
0
28 Apr 2023
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Huanhuan Gao
Beiwen Tian
Pengfei Li
Hao Zhao
Guyue Zhou
3DPCMQ
156
20
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25 Apr 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
274
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14 Apr 2023
Decoupling anomaly discrimination and representation learning:
  self-supervised learning for anomaly detection on attributed graph
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graphData Science and Engineering (DSE), 2023
Lele Fu
Chuan Chen
Bowen Deng
Yujing Lai
Hao Lin
Zibin Zheng
Jing Bian
192
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11 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-TailComputer Vision and Pattern Recognition (CVPR), 2023
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
377
17
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31 Mar 2023
Addressing Class Variable Imbalance in Federated Semi-supervised
  Learning
Addressing Class Variable Imbalance in Federated Semi-supervised Learning
Zehui Dong
Wenjing Liu
Siyuan Liu
Xingzhi Chen
FedML
178
2
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21 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Xiaohua Xie
Yin Li
Yong Jae Lee
181
17
0
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