You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi , Sorry for the late reply.
i made experiment on Activation and InstanceNorm , but i forgeted to replace the Resblockv2 :((
in this paper : Identity Mappings in Deep Residual Networks
it proposed model (e) (ResBlockv2):
i will change to ResblockV2
x + R(I(C(R(I(C(x))))) = > x + C(R(I(C(R(I(x))))))
Hi , Sorry for the late reply.
i made experiment on Activation and InstanceNorm , but i forgeted to replace the Resblockv2 :((
in this paper : Identity Mappings in Deep Residual Networks
it proposed model (e) (ResBlockv2):
i will change to ResblockV2
x + R(I(C(R(I(C(x))))) = > x + C(R(I(C(R(I(x))))))
thanks your commented
Thank you for your reply. it makes more sense. However, please note that other famous open sources cyclic gan projects use ResNetBlockV1【x + I(C(R(I(C(x)))) 】, and it seems accepted by others. It would be great to reproduce there method. As far as my experiment, the model acts better after I change the RestNetBlock in the code.
The original and advanced types of resnet blocks are list in there:
http://torch.ch/blog/2016/02/04/resnets.html
x + R(I(C(R(I(C(x))))) should be changed to R(x + I(C(R(I(C(x)))) )
for
The text was updated successfully, but these errors were encountered: