文献
J-GLOBAL ID:202202275661697266
整理番号:22A1093706
LigMSANet:高密度群衆計数のための軽量マルチスケール適応畳込みニューラルネットワーク【JST・京大機械翻訳】
LigMSANet: Lightweight multi-scale adaptive convolutional neural network for dense crowd counting
著者 (5件):
Jiang Guoquan
(School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, PR China)
,
Wu Rui
(School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, PR China)
,
Huo Zhanqiang
(School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, PR China)
,
Zhao Cuijun
(Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000, PR China)
,
Luo Junwei
(School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, PR China)
資料名:
Expert Systems with Applications
(Expert Systems with Applications)
巻:
197
ページ:
Null
発行年:
2022年
JST資料番号:
W0178A
ISSN:
0957-4174
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)