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I would like to ask about the pattern of convolution, batch normalization, and relu for feature fusion. In the paper, it is suggested the 'conv-bn-relu' pattern, however, in this repo, the hyper-parameter config is set to be 'relu-conv-bn' pattern. Which one is more preferred?
Best regards.
The text was updated successfully, but these errors were encountered:
Hi,
I would like to ask about the pattern of convolution, batch normalization, and relu for feature fusion. In the paper, it is suggested the 'conv-bn-relu' pattern, however, in this repo, the hyper-parameter config is set to be 'relu-conv-bn' pattern. Which one is more preferred?
Best regards.
The text was updated successfully, but these errors were encountered: