文献
J-GLOBAL ID:202002266792903290
整理番号:20A0592199
細粒度画像分類のためのデータ増強における雑音の有効性【JST・京大機械翻訳】
The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification
著者 (5件):
Sun Nanyu
(College of Mathematics and Informatics, South China Agricultural University, Guangzhou, GD, People’s Republic of China)
,
Mo Xianjie
(College of Mathematics and Informatics, South China Agricultural University, Guangzhou, GD, People’s Republic of China)
,
Wei Tingting
(College of Mathematics and Informatics, South China Agricultural University, Guangzhou, GD, People’s Republic of China)
,
Zhang Dabin
(College of Mathematics and Informatics, South China Agricultural University, Guangzhou, GD, People’s Republic of China)
,
Luo Wei
(College of Mathematics and Informatics, South China Agricultural University, Guangzhou, GD, People’s Republic of China)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
12046
ページ:
779-792
発行年:
2020年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)