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Benchmarking of Dual-Step Neural Networks for Detection of ..:
, In:
2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)
,
Berardini, Daniele
;
Galdelli, Alessandro
;
Mancini, Adriano
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/MESA55290.2022.10004469
RT T1
2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)
: T1
Benchmarking of Dual-Step Neural Networks for Detection of Dangerous Weapons on Edge Devices
UL https://suche.suub.uni-bremen.de/peid=ieee-10004469&Exemplar=1&LAN=DE A1 Berardini, Daniele A1 Galdelli, Alessandro A1 Mancini, Adriano A1 Zingaretti, Primo YR 2022 K1 Performance evaluation K1 Quantization (signal) K1 Weapons K1 Image edge detection K1 Biological system modeling K1 Benchmark testing K1 Cameras K1 Artificial Intelligence K1 Object Detection K1 Edge Computing K1 Video Surveillance System K1 Edge Devices SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/MESA55290.2022.10004469 DO https://doi.org/10.1109/MESA55290.2022.10004469 SF ELIB - SuUB Bremen
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