Open haydenhs opened 3 years ago
Thanks for your interests. The both versions are utilized in our implementation. We will also provide the code from TIP version soonly.
Thanks for your reply! Is the former one a conference version of PZRes-Net? Could you please provide a link to view/download the paper?
Hello Zhiyu, thanks for sharing your code! I read your paper and did not figure out how the loss function is implemented in code main.py. In TIP version, the loss function for SpeNet is L =|| \mathcal{Z}(X) - \mathcal{Z}(\hat{X})|| +||X-\tilde{X}||. However, in main.py, code for loss function is
loss = MaeLoss(fout, hsi_g) + MaeLoss(refined, hsi_g)
If I understand correctly, hsi_g refers to X and refined is \tilde{X}. So the second part is same as the loss function. However, I could not figure out how the ZM-norm is implemented. I could not found the 'minus mean value' operation in ZM-norm. Is this the correct way to train the net? Could this be a typo?