文献
J-GLOBAL ID:202202275779591782
整理番号:22A1119693
2レベル注意活性化モデルによる弱教師付き細粒画像分類【JST・京大機械翻訳】
Weakly supervised fine-grained image classification via two-level attention activation model
著者 (5件):
Ke Xiao
(Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, China)
,
Ke Xiao
(Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, Fuzhou 350003, China)
,
Huang Yanyan
(Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, China)
,
Guo WenZhong
(Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, China)
,
Guo WenZhong
(Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education, Fuzhou 350003, China)
資料名:
Computer Vision and Image Understanding
(Computer Vision and Image Understanding)
巻:
218
ページ:
Null
発行年:
2022年
JST資料番号:
W0185A
ISSN:
1077-3142
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)