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1 Ergebnisse
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Analysis and methodology for enabling DNN inference in an I..:
, In:
2022 37th Conference on Design of Circuits and Integrated Circuits (DCIS)
,
de Ternero, Alejandro Martinez
;
Sancho, Jaime
;
Vazquez, Guillermo
... - p. 01-06 , 2022
Link:
https://doi.org/10.1109/DCIS55711.2022.9970054
RT T1
2022 37th Conference on Design of Circuits and Integrated Circuits (DCIS)
: T1
Analysis and methodology for enabling DNN inference in an IoT edge environment in depth completion tasks
UL https://suche.suub.uni-bremen.de/peid=ieee-9970054&Exemplar=1&LAN=DE A1 de Ternero, Alejandro Martinez A1 Sancho, Jaime A1 Vazquez, Guillermo A1 Villa, Manuel A1 Rosa, Gonzalo A1 Sutradhar, Pallab A1 Martin-Pirez, Alberto A1 Chavarrias, Miguel A1 Jimenez-Roldan, Luis A1 Perez-Nunez, Angel A1 Lagares, Alfonso A1 Juarez, Eduardo A1 Sanz, Cesar YR 2022 SN 2640-5563 K1 Deep learning K1 Energy consumption K1 Analytical models K1 Architecture K1 Neural networks K1 Time measurement K1 Artificial intelligence K1 machine learning K1 neural networks K1 IoT K1 Kinect restoration K1 depth inpainting K1 depth completion SP 01 OP 06 LK http://dx.doi.org/https://doi.org/10.1109/DCIS55711.2022.9970054 DO https://doi.org/10.1109/DCIS55711.2022.9970054 SF ELIB - SuUB Bremen
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