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I want to prove whether the input in the meshgraphormer framework and the information in the attention mechanism are as I drew the picture
I want to know that grid features are obtained by extracting features through CNN. Its dimension is 49×1024. It is not marked in the paper that it uses upsampling. How did it transform from 49×1024 to 49×2051?
The text was updated successfully, but these errors were encountered:
Q1: There are (49+14+431) input tokens. All tokens have 2051-Dim.
Q2: We apply MLP for the transform. In Sec 4.1, we mentioned that we apply MLP to make the size of all input tokens consistent. After that, all input tokens have 2051-Dim.
Hello, I want to know two things,
I want to prove whether the input in the meshgraphormer framework and the information in the attention mechanism are as I drew the picture
I want to know that grid features are obtained by extracting features through CNN. Its dimension is 49×1024. It is not marked in the paper that it uses upsampling. How did it transform from 49×1024 to 49×2051?
The text was updated successfully, but these errors were encountered: