文献
J-GLOBAL ID:202202248646937457
整理番号:22A0287262
JigsawGAN:生成敵対ネットワークによるJigsawパズルを解くための補助学習【JST・京大機械翻訳】
JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles With Generative Adversarial Networks
著者 (5件):
Li Ru
(School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China)
,
Liu Shuaicheng
(School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China)
,
Wang Guangfu
(Megvii Technology, Chengdu, China)
,
Liu Guanghui
(School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China)
,
Zeng Bing
(School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China)
資料名:
IEEE Transactions on Image Processing
(IEEE Transactions on Image Processing)
巻:
31
ページ:
513-524
発行年:
2022年
JST資料番号:
W0364A
ISSN:
1057-7149
CODEN:
IIPRE4
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)