YeNet-Pytorch
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Where is the part of incorporating the knowledge of selection-channel?
Dear author: Thanks for your implementation about YeNet. However, I want to know whether your source code don't include the part of incorporating the knowledge of selection-channel? In other words. you have implemented TLU-CNN but not SCA-TLU-CNN. Is it right? Because I have found the embedding probability map is just used to generate the stego image (if embedding_otf=True). Would you mind sharing the updating code about implementing SCA-TLU-CNN?
Dear author: Thanks for your implementation about YeNet. However, I want to know whether your source code don't include the part of incorporating the knowledge of selection-channel? In other words. you have implemented TLU-CNN but not SCA-TLU-CNN. Is it right? Because I have found the embedding probability map is just used to generate the stego image (if embedding_otf=True). Would you mind sharing the updating code about implementing SCA-TLU-CNN?
I have same question with you. Have you implemented SCA-TLU-CNN?