文献
J-GLOBAL ID:202202210223542696
整理番号:22A0749421
植物計数のための背景を意識したドメイン適応【JST・京大機械翻訳】
Background-Aware Domain Adaptation for Plant Counting
著者 (4件):
Shi Min
(Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China)
,
Li Xing-Yi
(Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China)
,
Lu Hao
(Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China)
,
Cao Zhi-Guo
(Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China)
資料名:
Frontiers in Plant Science (Web)
(Frontiers in Plant Science (Web))
巻:
13
ページ:
731816
発行年:
2022年
JST資料番号:
U7094A
ISSN:
1664-462X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)