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What is the exact sturcture of feature prediction branch network? #2
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Hi, the structures of the two branches are described in section 3.2 Encoding part. The latent branch contains N mapping networks, each expressed by a single fully connected layer. The feature branch is a convolutional network, which contains two convolution layers and batch normalization layers in between. I have started cleaning the code and will try to make it public as soon as possible. |
I've sent an email to you for some details, please check it. Thanks. |
Any activation layer between the two conv layers? |
Hi, I have updated my email address, could you send it again? |
I sent to your At Interdigital email before. Forward to your telecom-paris.fr email just now |
@Xu-Yao hi, did you receive the email now? |
Hi, sorry for bothering again.
I wonder if it is convenient for you to share the structure of the network? Specifically, the feature prediction branch and latent prediction branch. Thanks.
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