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PyTorch implementation of Masked Autoencoder
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...