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Pytorch implementation for the paper of "Capsule networks with non-iterative cluster routing".

License: MIT License

Python 100.00%

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Decoder Network for Reconstruction

Hi,

The model works fine!

If possible, can I know for the decoder network mentioned in the paper, which capsule vectors were passed to reconstruct the input images?
I have tried using the direct output from final capsule layers and the concatenated vectors passed onto the classifier but couldn't generate results resembling the inputs.

Thank you!

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