DSConv: efficient convolution operator
Quantization is a popular way of increasing the speed and lowering the memory usage of Convolution Neural Networks (CNNs). When labelled training data is available, network weights and activations have successfully been quantized down to 1-bit. The same cannot be said about the scenario when labelle...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2019
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