直近一年間の累計
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ID 117837
著者
Jiang, Xiantao Shanghai Maritime University|Nanchang Institute of Technology
Leu, Jenq-Shiou National Taiwan University of Science and Technology
資料タイプ
学術雑誌論文
抄録
In this paper, three types of domain adaptation which are defined as image-level domain adaptation, interdomain adaptation, and intradomain adaptation are efficiently combined to construct a high efficiency framework for semantic segmentation. The proposed domain adaptation platform can achieve a high reduction of time-consuming to generate exhausted supervised data in the real world using photorealistic images. The proposed framework achieved a mean Intersection-over-Union (mIoU) of 45.0%. Furthermore, by combining the proposed method with intradomain adaptation, the improvement of 1.2% mIoU is achieved compared to previous work.
掲載誌名
Mathematical Problems in Engineering
ISSN
1024123X
15635147
cat書誌ID
AA11947206
出版者
Hindawi
2022
開始ページ
1848857
発行日
2022-07-15
権利情報
This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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出版社版DOI
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フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系