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What is the exact sturcture of feature prediction branch network? #2

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LiUzHiAn opened this issue Feb 16, 2022 · 6 comments
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@LiUzHiAn
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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.

@Xu-Yao
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Xu-Yao commented Feb 17, 2022

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.

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.

@LiUzHiAn
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I've sent an email to you for some details, please check it. Thanks.

@LiUzHiAn
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Any activation layer between the two conv layers?

@Xu-Yao
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Xu-Yao commented Feb 17, 2022

I've sent an email to you for some details, please check it. Thanks.

Hi, I have updated my email address, could you send it again?

@LiUzHiAn
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I sent to your At Interdigital email before. Forward to your telecom-paris.fr email just now

@LiUzHiAn
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@Xu-Yao hi, did you receive the email now?

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