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pro vyhledávání: '"Ciro Antonio Mami"'
Autor:
Daniele Panfilo, Alexander Boudewijn, Sebastiano Saccani, Andrea Coser, Borut Svara, Carlo Rossi Chauvenet, Ciro Antonio Mami, Eric Medvet
Publikováno v:
IEEE Access, Vol 11, Pp 63306-63323 (2023)
The recent and rapid progresses in Machine Learning (ML) tools and methodologies paved the way for an accessible market of ML services. In principle, small and medium-sized enterprises, as well as big companies, could act as providers and consumers o
Externí odkaz:
https://doaj.org/article/7a1074ef5a0140e1a3fc8511d47bd3ea
Autor:
Benedetta Liberatori, Ciro Antonio Mami, Giovanni Santacatterina, Marco Zullich, Felice Andrea Pellegrino
Deploying Deep Learning (DL) based object detection (OD) models in low-end devices, such as single board computers, may lead to poor performance in terms of frames-per-second (FPS). Pruning and quantization are well-known compression techniques that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::195933916f31e3c13773b493796f032c
http://hdl.handle.net/11368/3028994
http://hdl.handle.net/11368/3028994
