文献
J-GLOBAL ID:202202286423635967
整理番号:22A0837681
視覚追跡のための距離IoU損失による正確な限界ボックス回帰【JST・京大機械翻訳】
Accurate bounding-box regression with distance-IoU loss for visual tracking
著者 (8件):
Yuan Di
(Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China)
,
Yuan Di
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China)
,
Shu Xiu
(School of Science, Harbin Institute of Technology, Shenzhen 518055, China)
,
Fan Nana
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China)
,
Chang Xiaojun
(School of Computing Technologies, RMIT University, VIC 3046, Australia)
,
Liu Qiao
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China)
,
Liu Qiao
(National Center for Applied Mathematics, Chongqing Normal University, Chongqing, 401331, China)
,
He Zhenyu
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China)
資料名:
Journal of Visual Communication and Image Representation
(Journal of Visual Communication and Image Representation)
巻:
83
ページ:
Null
発行年:
2022年
JST資料番号:
W0218A
ISSN:
1047-3203
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)