Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

The edge computing paradigm places compute-capable devices - edge servers - at the network edge to assist mobile devices in executing data analysis tasks. Intuitively, offloading compute-intense tasks to edge servers can reduce their execution time. However, poor conditions of the wireless channel c...

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Veröffentlicht in:	arXiv.org 2020-10
Hauptverfasser:	Matsubara, Yoshitomo, Levorato, Marco
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Data analysis Edge computing Electronic devices Neural networks Object recognition Pictures Servers Wireless networks
Online-Zugang:	Volltext
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