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pro vyhledávání: '"Shivapakash, Suhas"'
Autor:
Wiedemann, Simon, Shivapakash, Suhas, Wiedemann, Pablo, Becking, Daniel, Samek, Wojciech, Gerfers, Friedel, Wiegand, Thomas
With the growing demand for deploying deep learning models to the "edge", it is paramount to develop techniques that allow to execute state-of-the-art models within very tight and limited resource constraints. In this work we propose a software-hardw
Externí odkaz:
http://arxiv.org/abs/2012.11331