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FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3157893

Abstract: Deep neural networks (DNNs) have demonstrated their effectiveness in a wide range of computer vision tasks, with the state-of-the-art results obtained through complex and deep structures that require intensive computation and memory. In the past,… read more here.

Keywords: fxp qnet; fixed point; low precision; precision ... See more keywords