I am one author of paper "Unsupervised_BiHalf", and thanks a lot for adding our paper in this nice Implementation.
I notice a small mistake in implementing the model at test time in line 77-79:
During training, we train to align continuous distribution p(u) with the half-half distribution of +1 and −1(bi-half layer). This allows us at test time to simply use the "sign function" as a deterministic function for quantization.
Could you help us change bi-half to sign at test time, thanks a lot!
Hey,
I am one author of paper "Unsupervised_BiHalf", and thanks a lot for adding our paper in this nice Implementation.
I notice a small mistake in implementing the model at test time in line 77-79: During training, we train to align continuous distribution p(u) with the half-half distribution of +1 and −1(bi-half layer). This allows us at test time to simply use the "sign function" as a deterministic function for quantization.
Could you help us change bi-half to sign at test time, thanks a lot!