Dalila Ressi, Mara Pistellato, Andrea Albarelli, Filippo Bergamasco. A Relevance-Based CNN Trimming Method for Low-Resources Embedded Vision. In Stefania Bandini, Francesca Gasparini, Viviana Mascardi, Matteo Palmonari, Giuseppe Vizzari, editors, AIxIA 2021 - Advances in Artificial Intelligence - 20th International Conference of the Italian Association for Artificial Intelligence, Virtual Event, December 1-3, 2021, Revised Selected Papers. Volume 13196 of Lecture Notes in Computer Science, pages 297-309, Springer, 2021. [doi]
@inproceedings{RessiPAB21,
title = {A Relevance-Based CNN Trimming Method for Low-Resources Embedded Vision},
author = {Dalila Ressi and Mara Pistellato and Andrea Albarelli and Filippo Bergamasco},
year = {2021},
doi = {10.1007/978-3-031-08421-8_20},
url = {https://doi.org/10.1007/978-3-031-08421-8_20},
researchr = {https://researchr.org/publication/RessiPAB21},
cites = {0},
citedby = {0},
pages = {297-309},
booktitle = {AIxIA 2021 - Advances in Artificial Intelligence - 20th International Conference of the Italian Association for Artificial Intelligence, Virtual Event, December 1-3, 2021, Revised Selected Papers},
editor = {Stefania Bandini and Francesca Gasparini and Viviana Mascardi and Matteo Palmonari and Giuseppe Vizzari},
volume = {13196},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-08421-8},
}