YOLOv2 acceleration using embedded GPU and FPGAs: pros, cons, and a hybrid method-Reference-Cited by-同舟云学术

YOLOv2 acceleration using embedded GPU and FPGAs: pros, cons, and a hybrid method

Published:2021-06-26 Issue: Volume: Page:
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Liu Congjun

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s12065-021-00612-y.pdf

Reference22 articles.

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4. Jia Y, Shelhamer E, Donahue J, Karayev S, Long J, Girshick R, Guadarrama S, Darrell T (2014) Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM international conference on Multimedia, pp 675–678

5. Lei J, Dl Li, Yl Zhou, Liu W (2019) Optimization and acceleration of flow simulations for cfd on cpu/gpu architecture. J Braz Soc Mech Sci Eng 41(7):290

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