FPGA-Based Acceleration for Bayesian Convolutional Neural Networks-Reference-Cited by-同舟云学术

FPGA-Based Acceleration for Bayesian Convolutional Neural Networks

Published:2022-12 Issue:12 Volume:41 Page:5343-5356
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Fan Hongxiang¹^ORCID,Ferianc Martin²^ORCID,Que Zhiqiang¹^ORCID,Liu Shuanglong³^ORCID,Niu Xinyu⁴,Rodrigues Miguel R. D.²^ORCID,Luk Wayne¹

Affiliation:

1. Department of Computing, Imperial College London, London, U.K.

2. Department of Electronic and Electrical Engineering, University College London, London, U.K.

3. School of Physics and Electronics, Hunan Normal University, Changsha, China

4. Corerain Technologies Ltd., Shenzhen, China

Funder

Engineering and Physical Sciences Research Council, U.K.

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

Changsha Municipal Natural Science Foundation

Corerain, Maxeler, Intel, Xilinx, and SGIIT

Institute of Communications and Connected Systems at UCL

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

Reference67 articles.

2. Being Bayesian, even just a bit, fixes overconfidence in ReLU networks;kristiadi;arXiv 2002 10118,2020

4. An efficient 3D CNN for action/object segmentation in video;hou;arXiv 1907 08895,2019

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