文献
J-GLOBAL ID:202102282734607333
整理番号:21A0540242
MobileSR:超解像のための効率的な畳込みニューラルネットワーク【JST・京大機械翻訳】
MobileSR: Efficient Convolutional Neural Network for Super-resolution
著者 (5件):
Zhang Lulu
(Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,China,100191)
,
Li HuiYong
(Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,China,100191)
,
Liu Xuefeng
(Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,China,100191)
,
Niu Jianwei
(Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,China,100191)
,
Wu Jiyan
(Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,China,100191)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
GLOBECOM
ページ:
1-6
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)