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PyTorch implementation of Masked Autoencoder

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Hi, thanks for the code. You answered that we can modify the PatchShuffle class to create custom masks. However, the patch shuffle class takes the output of a Conv2d layer,...

Hello, Why did we not drop the decoder and insert a new linear layer at the end of the norm layer in the train classifier for fine-tuning? Why did you...

Hello, Thank you for sharing such a wonderful code. I found in my experiments that the parameter of emb_dim that refers to the embedding dimension should be always a multiple...