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pro vyhledávání: '"Uyanik, Gulnur Selda"'
In this research, we propose a tiny image segmentation model, L^3U-net, that works on low-resource edge devices in real-time. We introduce a data folding technique that reduces inference latency by leveraging the parallel convolutional layer processi
Externí odkaz:
http://arxiv.org/abs/2203.16528
Autor:
Uyanik, Gulnur Selda, Oktug, Sema
Publikováno v:
In Ad Hoc Networks July 2017 62:22-34
Publikováno v:
In Ad Hoc Networks September 2014 20:64-76
Publikováno v:
2013 First International Black Sea Conference on Communications & Networking (BlackSeaCom); 2013, p157-161, 5p
Publikováno v:
2013 IEEE Globecom Workshops (GC Wkshps); 2013, p4769-4774, 6p
Publikováno v:
2012 IEEE Globecom Workshops; 2012, p943-947, 5p
Autor:
Uyanik, Gulnur Selda, Oktug, Sema
Publikováno v:
2012 35th IEEE Sarnoff Symposium; 1/ 1/2012, p1-5, 5p