This project forked from ruizhoud/distributionloss
Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"
Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"
Code modified from the code for the original BNN paper.
CUDA_VISIBLE_DEVICES=0 python custom_main_binary_imagenet.py --seed 1 --model alexnet_binary_vs_xnor --batch-size 256 --batch_size_test 100 --infl_ratio 1 --distrloss 2. --distr_epoch 60 --epochs 65 --gpus 0
You can download checkpoint from this link. The top-1 accuracy is 47.9%, and top-5 accuracy is 71.9%.
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