Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/N._Arumugam>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/V._R._S._Mani>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1016%2Fj.mejo.2021.105319>
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dc:identifier	DBLP journals/mj/ManiSA22 (xsd:string)
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dc:title	Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node. (xsd:string)
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