Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features

Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features

In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive f...

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Bibliographic Details
Main Authors: Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2022-12-01
Series:Tongxin xuebao
Subjects:
unsupervised domain adaptation
semantic segmentation
multi-modal features
attentive fusion
multi-level adversarial learning
self-supervised learning
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022212/
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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022212/

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