probabilistic_unet icon indicating copy to clipboard operation
probabilistic_unet copied to clipboard

Why do you call the loss function ELBO?

Open QtacierP opened this issue 4 years ago • 1 comments

Thanks for awsome codes and paper. However, I cannot formulate the first term in ELBO as the cross-entropy function which used in your loss function.

What's more, it is a little strange to add the cross-entropy related to the segmentation result from Z_q. Because the Q is generated from the ground-truth, and the S_q is from Z_q. Is it meaningful to only calculate the CE(Y, S_q) rather than CE(Y, S_p)? I mean that the model has gotten the ground-truth in training phase, it is unfair to calculate CE for this model.

QtacierP avatar Oct 29 '19 12:10 QtacierP

这是唯一一个tensorflow写的看不懂的代码,

navy63 avatar Jan 20 '20 03:01 navy63