Fast matrix multiplication for binary and ternary CNNs on ARM CPU

Low-bit quantized neural networks (QNNs) are of great interest in practical applications because they significantly reduce the consumption of both memory and computational resources. Binary neural networks (BNNs) are memory and computationally efficient as they require only one bit per weight and ac...

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Veröffentlicht in:	International Conference on Pattern Recognition S. 3176 - 3182
Hauptverfasser:	Trusov, Anton, Limonova, Elena, Nikolaev, Dmitry, Arlazarov, Vladimir V.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 21.08.2022
Schlagworte:	Computational efficiency Inference algorithms Libraries Memory management Mobile handsets Neon Neural networks
ISSN:	2831-7475
Online-Zugang:	Volltext
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