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why didn't you use the depth-wise separable convolution?

Open Seojii opened this issue 3 years ago • 2 comments

Hi, Thank you for your great work! I have two questions about your paper!

  1. As I wrote the title, I would like to know why you didn't use depth-wise separable convolution in you backbone. Since you said that you got idea from the Xception, I think you probably considered it.

  2. What would you expect if the model is trained with depth-wise separable conv?

Thanks.

Seojii avatar Nov 10 '20 08:11 Seojii

They probably using some hyperparameter search technique to find out they structure, using because it worked can't tell much reason in that

MrForExample avatar Nov 24 '20 03:11 MrForExample

It's a great question, sorry I did not answer you in the right time. First, my personal objective about the work is make it simpler. And I used the classical CNN. Maybe a deep study, using different type of CNN, will be great. I have faced, trying to reach the objective, different problems and I started solving them.

xavysp avatar Nov 22 '21 04:11 xavysp