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Bag of Tricks with Quantized Convolutional Neural Networks for image classification
To bridge this gap, we collect and improve existing quantization methods and propose a gold guideline for post-training quantization.
Elastic-Link for Binarized Neural Network
For example, we raise the top-1 accuracy of binarized ResNet26 from 57. 9% to 64. 0%.
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