文献
J-GLOBAL ID:202202273408493331
整理番号:22A1051317
3D DenseNet融合スクイーズおよび励起ネットワークを用いたマイクロ表現認識【JST・京大機械翻訳】
Micro-expression recognition using 3D DenseNet fused Squeeze-and-Excitation Networks
著者 (4件):
Cai Linqin
(Research Center for Multi-Agent Systems Control Theory and Application, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
,
Li Hao
(Research Center for Multi-Agent Systems Control Theory and Application, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
,
Dong Wei
(Research Center for Multi-Agent Systems Control Theory and Application, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
,
Fang Haodu
(Research Center for Multi-Agent Systems Control Theory and Application, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
資料名:
Applied Soft Computing
(Applied Soft Computing)
巻:
119
ページ:
Null
発行年:
2022年
JST資料番号:
W2175A
ISSN:
1568-4946
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)