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Because VAE would be trained with a reconstruction loss which not only ensures input information are preserved but also creates a rich low dimensional latent space on which the discriminator would be trained better.
Hi,
I was wondering why did you use a VAE to get the embedding instead of just the output of a middle layer from a CNN?
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