Debiased Self-Training for Semi-Supervised Learning

15 February 2022

Ximei Wang

Papers citing "Debiased Self-Training for Semi-Supervised Learning"

44 / 44 papers shown

Title
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation Hritam Basak Zhaozheng Yin VLM 33 0 0 08 Apr 2025
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
Semi-Supervised Audio-Visual Video Action Recognition with Audio Source Localization Guided Mixup Seokun Kang Taehwan Kim 42 0 0 04 Mar 2025
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification Rong Liu Junye Liang Jiaqi Yang Jiang He Peng Zhu 71 5 0 25 Feb 2025
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving Yuting Hong Hui Xiao Huazheng Hao Xiaojie Qiu Baochen Yao Chengbin Peng 29 0 0 19 Sep 2024
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems Altaf Allah Abbassi Houssem Ben Braiek Foutse Khomh Thomas Reid 21 0 0 13 Sep 2024
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation Jie Feng Tianshu Zhang Junpeng Zhang Ronghua Shang Weisheng Dong G. Shi Licheng Jiao 27 2 0 11 Aug 2024
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning Jayateja Kalla Soma Biswas SSL 31 0 0 08 Aug 2024
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning Jia-Hao Xiao Ming-Kun Xie Heng-Bo Fan Gang Niu Masashi Sugiyama Sheng-Jun Huang 26 0 0 26 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 30 1 0 25 Jul 2024
LayerMatch: Do Pseudo-labels Benefit All Layers? Chaoqi Liang Guanglei Yang Lifeng Qiao Zitong Huang Hongliang Yan Yunchao Wei W. Zuo 41 0 0 20 Jun 2024
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation Dong Zhao Shuang Wang Qi Zang Licheng Jiao N. Sebe Zhun Zhong 60 2 0 10 Jun 2024
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective Yulong Zhang Yuan Yao Shuhao Chen Pengrong Jin Yu Zhang Jian Jin Jiangang Lu 35 1 0 05 Jun 2024
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following Qiaomu Miao Alexandros Graikos Jingwei Zhang Sounak Mondal Minh Hoai Dimitris Samaras 32 0 0 04 Jun 2024
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation Wooseok Shin Hyun Joon Park Jin Sob Kim Sung Won Han VLM 33 7 0 31 May 2024
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 33 3 0 14 Apr 2024
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach Haibo Jin Haoxuan Che Hao Chen 43 0 0 06 Apr 2024
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias Wenyu Zhang Qingmu Liu Felix Ong Wei Cong Mohamed Ragab Chuan-Sheng Foo 32 0 0 17 Mar 2024
Language Semantic Graph Guided Data-Efficient Learning Wenxuan Ma Shuang Li Lincan Cai Jingxuan Kang 37 4 0 15 Nov 2023
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 21 21 0 25 Oct 2023
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias Ambroise Odonnat Vasilii Feofanov I. Redko 28 7 0 23 Oct 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation Haonan Wang Xiaomeng Li 35 29 0 17 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 33 0 0 10 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 30 9 0 04 Oct 2023
$360$^\circ$ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation$ 360 $^\circ$ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation Laurenz Reichardt Nikolas Ebert Oliver Wasenmüller 3DPC 38 10 0 12 Sep 2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation Chen Liang Wenguan Wang Jiaxu Miao Yi Yang NAI 25 29 0 24 Aug 2023
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation Hong Wang X. Li 25 33 0 22 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators Sikai Bai Shuaicheng Li Weiming Zhuang Jie M. Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 24 6 0 11 Jul 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study Rushuang Zhou Lei Lu Zijun Liu Ting Xiang Zhen Liang David A. Clifton Yining Dong Yuanyuan Zhang 41 10 0 18 Jun 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning Cristina Menghini Andrew T. Delworth Stephen H. Bach VLM 13 20 0 02 Jun 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 27 17 0 22 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner Zhengxiang Shi Aldo Lipani VLM CLL 31 21 0 02 May 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 203 36 0 21 Feb 2023
Addressing Distribution Shift at Test Time in Pre-trained Language Models Ayush Singh J. Ortega VLM 19 4 0 05 Dec 2022
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 20 12 0 20 Nov 2022
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning Brody Kutt Pralay Ramteke Xavier Mignot P. Toman Nandini Ramanan Sujit Rokka Chhetri Shan Huang Min Du W. Hewlett 25 0 0 17 Nov 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen J. Zhao 22 54 0 21 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 35 56 0 08 Jul 2022
Boosting Cross-Domain Speech Recognition with Self-Supervision Hanjing Zhu Gaofeng Cheng Jindong Wang Wenxin Hou Pengyuan Zhang Yonghong Yan 19 13 0 20 Jun 2022
Self-Training: A Survey Massih-Reza Amini Vasilii Feofanov Loïc Pauletto Lies Hadjadj Emilie Devijver Yury Maximov SSL 28 102 0 24 Feb 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 223 862 0 15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 217 508 0 15 Jan 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020