文献
J-GLOBAL ID:202202279087315627
整理番号:22A1101379
赤外可視人物再識別のためのモダリティBiasトレーニングの軽減【JST・京大機械翻訳】
Alleviating Modality Bias Training for Infrared-Visible Person Re-Identification
著者 (6件):
Huang Yan
(Global Big Data Technologies Centre (GBDTC), School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia)
,
Wu Qiang
(Global Big Data Technologies Centre (GBDTC), School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia)
,
Xu Jingsong
(Global Big Data Technologies Centre (GBDTC), School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia)
,
Zhong Yi
(School of Information and Electronics, Beijing Institute of Technology, Beijing, China)
,
Zhang Peng
(Global Big Data Technologies Centre (GBDTC), School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia)
,
Zhang Zhaoxiang
(Research Center for Brain-Inspired Intelligence, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
資料名:
IEEE Transactions on Multimedia
(IEEE Transactions on Multimedia)
巻:
24
ページ:
1570-1582
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)