文献
J-GLOBAL ID:202202237010094966
整理番号:22A1101387
スケルトンベース行動認識のためのマルチ局所化高感度オートエンコーダ-アテンション-LSTM【JST・京大機械翻訳】
Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition
著者 (3件):
Ng Wing
(Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China)
,
Zhang Mingyang
(Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China)
,
Wang Ting
(Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China)
資料名:
IEEE Transactions on Multimedia
(IEEE Transactions on Multimedia)
巻:
24
ページ:
1678-1690
発行年:
2022年
JST資料番号:
W1116A
ISSN:
1520-9210
CODEN:
ITMUF8
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)