Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Class independent object proposals"'
Publikováno v:
CVPR
Yanulevskaya, V, Uijlings, J R R & Sebe, N 2014, Learning to Group Objects . in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on . Institute of Electrical and Electronics Engineers (IEEE), pp. 3134-3141 . https://doi.org/10.1109/CVPR.2014.401
Yanulevskaya, V, Uijlings, J R R & Sebe, N 2014, Learning to Group Objects . in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on . Institute of Electrical and Electronics Engineers (IEEE), pp. 3134-3141 . https://doi.org/10.1109/CVPR.2014.401
This paper presents a novel method to generate a hypothesis set of class-independent object regions. It has been shown that such object regions can be used to focus computer vision techniques on the parts of an image that matter most leading to signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71a67a2c3a996a8be3d98c139ef5cae0
https://doi.org/10.1109/cvpr.2014.401
https://doi.org/10.1109/cvpr.2014.401
Autor:
Yurong Guan1, Aamir, Muhammad1 aamirshaikh86@hotmail.com, Zhihua Hu1, Dayo, Zaheer Ahmed1, Rahman, Ziaur1, Abro, Waheed Ahmed1, Soothar, Permanand2
Publikováno v:
Traitement du Signal. Jun2021, Vol. 38 Issue 3, p719-730. 12p.
Conference
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Autor:
Shu, Zhen1 (AUTHOR) zhenshu1994@whu.edu.cn, Hu, Xiangyun1,2 (AUTHOR) hengmingdai@whu.edu.cn, Dai, Hengming1 (AUTHOR)
Publikováno v:
Remote Sensing. Dec2021, Vol. 13 Issue 24, p5111-N.PAG. 1p.
Autor:
Wu, Chunling
Publikováno v:
Personal & Ubiquitous Computing; Oct2018, Vol. 22 Issue 5/6, p1017-1027, 11p, 2 Diagrams, 7 Charts
Publikováno v:
Multimedia Tools & Applications; Sep2018, Vol. 77 Issue 18, p23193-23225, 33p
Publikováno v:
IEEE Transactions on Multimedia; May2018, Vol. 20 Issue 5, p1140-1153, 14p
Autor:
Zaheer Ahmed Dayo, Zhihua Hu, Yurong Guan, Waheed Ahmed Abro, Ziaur Rahman, Muhammad Aamir, Permanand Soothar
Publikováno v:
Traitement du Signal. 38:719-730
Objection detection has long been a fundamental issue in computer vision. Despite being widely studied, it remains a challenging task in the current body of knowledge. Many researchers are eager to develop a more robust and efficient mechanism for ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d13860aa66e9fee627ac26efaa911f
https://doi.org/10.18280/ts.380319
https://doi.org/10.18280/ts.380319
Publikováno v:
IEEE Transactions on Multimedia; Feb2017, Vol. 19 Issue 2, p393-407, 15p