[UNDER CONSTRUCTION]

ABC-Net-Pytorch

My implemenation of ABC-Net. Currently I finish the ABC-Net on alexnet architecture on imagenet dataset, but the model does NOT converge. I am considering use some small dataset which is relative easy to debug.

IF YOU FIND THE MISTAKEs I MADE IN THE IMPLEMNATION THAT CAUSE THE DISCONVERGENCY, PLEASE LET ME KNOW. thanks: )

TO-DO

• ABC-Net in resnet-18 architecture on cifar10 dataset

Dismatchs

Considering some details are NOT specified in the paper, I make modifications as follow:

• the way to solve alpha.: The lstsq(scipy.linalg.lstsq) method is adopted.
• STE attach to each Binary Base OR full precision Weight: fp Weight
• gradient of W(see following Notes): keep as the original paper
• alexnet architecture: basicly adopting the modification in Xnor-Net excepting kernel size to keep identity with pretrained model.

Notes

I find some preoblem of this paper reported in the notes.