Alleviating the generalization issue in adversarial domain adaptation networks-Reference-Cited by-同舟云学术

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Alleviating the generalization issue in adversarial domain adaptation networks

Published:2023-07 Issue: Volume:135 Page:104695
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Zhe Xiao,Du Zhekai,Lou Chunwei,Li Jingjing

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference38 articles.

1. A survey on transfer learning;Pan;IEEE TKDE,2010

2. Interventional video relation detection;Li,2021

3. Deconfounded video moment retrieval with causal intervention;Yang,2021

4. Adapting visual category models to new domains;Saenko,2010

5. CyCADA: cycle-consistent adversarial domain adaptation;Hoffman,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing open-set domain adaptation through unknown-filtering multi-classifier adversarial network;Image and Vision Computing;2024-05

2. Unsupervised domain adaptation by incremental learning for concept drifting data streams;International Journal of Machine Learning and Cybernetics;2024-04-16

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