Dynamic Adversarial Adaptation Network with selective pseudo-labels for enhanced unsupervised domain adaptation in rock microscopic image analysis-Reference-Cited by-同舟云学术

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Dynamic Adversarial Adaptation Network with selective pseudo-labels for enhanced unsupervised domain adaptation in rock microscopic image analysis

Published:2024-09 Issue: Volume:240 Page:213011
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Xie Yunxin^ORCID,Jin Liangyu,Zhu Chenyang^ORCID,Luo Weibin,Wang Qian^ORCID

Funder

Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions

Natural Science Research of Jiangsu Higher Education Institutions of China

Publisher

Elsevier BV

Reference30 articles.

1. Active domain adaptation with application to intelligent logging lithology identification;Chang;#IEEE_J_CYB#,2022

2. Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations;Cui,2020

3. Unsupervised visual domain adaptation using subspace alignment;Fernando,2013

4. Unsupervised domain adaptation by backpropagation;Ganin,2015

5. Domain-adversarial training of neural networks;Ganin;J. Mach. Learn. Res.,2016

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