Zobrazeno 1 - 10
of 461
pro vyhledávání: '"bottleneck residual block"'
Publikováno v:
In Computers and Electrical Engineering December 2019 80
Autor:
Zhongyuan Guo, Hong Zheng, Changhui You, Xiaohang Xu, Xiongbin Wu, Zhaohui Zheng, Jianping Ju
Publikováno v:
Sensors, Vol 20, Iss 21, p 6305 (2020)
With the rapid development of information technology and the widespread use of the Internet, QR codes are widely used in all walks of life and have a profound impact on people’s work and life. However, the QR code itself is likely to be printed and
Externí odkaz:
https://doaj.org/article/1e236ffaed0647e188e5fea0b4fb675b
Akademický článek
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Autor:
Zhaohui Zheng, Xiaohang Xu, Zhongyuan Guo, Changhui You, Xiongbin Wu, Jianping Ju, Hong Zheng
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6305, p 6305 (2020)
Sensors
Volume 20
Issue 21
Sensors, Vol 20, Iss 6305, p 6305 (2020)
Sensors
Volume 20
Issue 21
With the rapid development of information technology and the widespread use of the Internet, QR codes are widely used in all walks of life and have a profound impact on people&rsquo
s work and life. However, the QR code itself is likely to be pr
s work and life. However, the QR code itself is likely to be pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5b7f1994f706a3055b6d6c106104eb6
http://europepmc.org/articles/PMC7663918
http://europepmc.org/articles/PMC7663918
Publikováno v:
Computers & Electrical Engineering. 80:106481
Capsule Network (CapsNet) complements the invariance properties of the convolutional neural network with equivariance through pose estimation. While CapsNet achieves a very decent performance with a shallow architecture, it suffers from heavily param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81862d2bf60ac2c188f90d2086467221
https://doi.org/10.1016/j.compeleceng.2019.106481
https://doi.org/10.1016/j.compeleceng.2019.106481
Autor:
Yu-Ting Tsai, Ching-Piao Tsai
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 10, p 1925 (2023)
Deep learning techniques have revolutionized the field of artificial intelligence by enabling accurate predictions of complex natural scenarios. This paper proposes a novel convolutional neural network (CNN) model that involves deep learning technolo
Externí odkaz:
https://doaj.org/article/6395d421126645ac90d1074bcfe3a55b
Autor:
Wu, Dan1 (AUTHOR) wangyanzhi780@gmail.com, Wang, Yanzhi1 (AUTHOR), Wang, Haoran1 (AUTHOR), Wang, Fei1 (AUTHOR), Gao, Guowang1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jul2024, Vol. 24 Issue 13, p4065. 27p.
Akademický článek
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Publikováno v:
Brain Sciences (2076-3425). May2024, Vol. 14 Issue 5, p436. 22p.
Autor:
Pawan, S. J.1 (AUTHOR) pawansnj03@gmail.com, Sharma, Rishi1 (AUTHOR), Reddy, Hemanth1 (AUTHOR), Vani, M.1 (AUTHOR), Rajan, Jeny1 (AUTHOR)
Publikováno v:
Machine Vision & Applications. Jul2023, Vol. 34 Issue 4, p1-14. 14p.