[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
Hello, sorry for similar question.
You have mentioned you used bi-real net structure for fair competition.
Is it a popular way to use bi-real net structure for quantization even for weight/activation with 1/32 bit?
I mean, did other networks such as BWN, HWGQ, ..., in your paper used same structures without binarizing downsamples?
Hello, sorry for similar question. You have mentioned you used bi-real net structure for fair competition. Is it a popular way to use bi-real net structure for quantization even for weight/activation with 1/32 bit? I mean, did other networks such as BWN, HWGQ, ..., in your paper used same structures without binarizing downsamples?