UDANet: An unsupervised domain adaptive vehicle density estimation network based on joint adversarial learning-Reference-Cited by-同舟云学术

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UDANet: An unsupervised domain adaptive vehicle density estimation network based on joint adversarial learning

Published:2024-11 Issue: Volume:137 Page:109138
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Ying,Sun Hong-Mei,Yang Rui,Jia Rui-Sheng^ORCID

Funder

Humanities and Social Science Fund of Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Reference40 articles.

1. From semi-supervised to transfer counting of crowds;Change Loy,2013

2. Crowd Counting via Unsupervised Cross-Domain Feature Adaptation;Ding,2022

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

4. Feature-aware adaptation and density alignment for crowd counting in video surveillance;Gao;IEEE Trans. Cybern.,2021

5. Adaptive teaching for cross-domain crowd counting;Gong;IEEE Trans. Multimed.,2023

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