Attention regularized semi-supervised learning with class-ambiguous data for image classification-Reference-Cited by-同舟云学术

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Attention regularized semi-supervised learning with class-ambiguous data for image classification

Published:2022-09 Issue: Volume:129 Page:108727
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Huo Xiaoyang,Zeng Xiangping,Wu Si,Wong Hau-San

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference61 articles.

1. Virtual adversarial training: a regularization method for supervised and semi-supervised learning;Miyato;IEEE Trans. Pattern Anal. Mach. Intell.,2018

2. Semi-supervised robust deep neural networks for multi-label image classification;Cevikalp;Pattern Recognit.,2020

3. Structured graph learning for clustering and semi-supervised classification;Kang;Pattern Recognit.,2021

4. GraphXCOVID: explainable deep graph diffusion pseudo-labelling for identifying COVID-19 on chest X-rays;Aviles-Rivero;Pattern Recognit.,2022

5. Fairness in semi-supervised learning: unlabeled data help to reduce discrimination;Zhang;IEEE Trans. Knowl. Data Eng.,2022

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3. MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency;Journal of Visual Communication and Image Representation;2023-09

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