Zobrazeno 1 - 7
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pro vyhledávání: '"Wu, Shuncheng"'
This paper studies unsupervised monocular depth prediction problem. Most of existing unsupervised depth prediction algorithms are developed for outdoor scenarios, while the depth prediction work in the indoor environment is still very scarce to our k
Externí odkaz:
http://arxiv.org/abs/1911.08995
Autor:
Xu, Hui, Liu, Yi, Shu, Chi-Min, Bai, Mingqi, Motalifu, Mailidan, He, Zhongxu, Wu, Shuncheng, Zhou, Penggang, Li, Bing
Publikováno v:
In Journal of Loss Prevention in the Process Industries May 2022 76
Autor:
Yan, Hongqiao1,2 (AUTHOR), Wu, Shuncheng2 (AUTHOR), Yuan, Lei3 (AUTHOR), Wang, Shunyi2 (AUTHOR), Cao, Yu2 (AUTHOR) 244135562@qq.com
Publikováno v:
Chemistry & Technology of Fuels & Oils. Sep2023, Vol. 59 Issue 4, p872-879. 8p.
Publikováno v:
Advances in Materials Science & Engineering. 4/27/2023, p1-16. 16p.
Publikováno v:
In Engineering Structures 1 August 2019 192:233-253
Akademický článek
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Publikováno v:
Day 1 Tue, March 26, 2019.
As the adoption of the high-speed development of the information technology and continuous improvement of industrial technology, huge amount of statistical data and statistical documents are accumulated in environment-safe and environment-friendly fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b9a9752b616afdb7f2a62a831d105ff
https://doi.org/10.2523/iptc-19485-ms
https://doi.org/10.2523/iptc-19485-ms