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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| Published in: | International Conference on Pattern Recognition pp. 3176 - 3182 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
21.08.2022
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| Subjects: | |
| ISSN: | 2831-7475 |
| Online Access: | Get full text |
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