文献
J-GLOBAL ID:202002213169034492
整理番号:20A0277475
ハイブリッド幾何学的に洗練された損失と文脈的注意による単眼ビデオからの教師なし深度推定【JST・京大機械翻訳】
Unsupervised depth estimation from monocular videos with hybrid geometric-refined loss and contextual attention
著者 (5件):
Zhang Mingliang
(Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, DUT-RU International School of Information Science & Engineering, Dalian University of Technology, China)
,
Zhang Mingliang
(School of Mathematical Sciences, Dalian University of Technology, Liaoning, China)
,
Ye Xinchen
(Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, DUT-RU International School of Information Science & Engineering, Dalian University of Technology, China)
,
Fan Xin
(Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, DUT-RU International School of Information Science & Engineering, Dalian University of Technology, China)
,
Zhong Wei
(Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, DUT-RU International School of Information Science & Engineering, Dalian University of Technology, China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
379
ページ:
250-261
発行年:
2020年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)