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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.
The text was updated successfully, but these errors were encountered:
QtacierP
changed the title
Why do you call the loss function as ELBO?
Why do you call the loss function ELBO?
Oct 29, 2019
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.
The text was updated successfully, but these errors were encountered: