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Published 20 hours ago • verified publisher icon daifeng2016

the fuse method

Open scscualex opened this issue 5 years ago • 2 comments

Hello,I'm quite fused about the fuse method. It seems that the method in your article and code have some differences. In article, the final change map is obtained from for γ. In code, the final map is obtained from feature maps could you please confirm it?

scscualex avatar Feb 01 '20 03:02 scscualex

Hi, the output of each scale (in our article it is 4) are fused to generate a new output, then a sigmoid layer is followed. In total, five outputs are generated during training, while only the fused output is utilized during test phase. The training code is consistent with that. Maybe you are confused with deep supervison.

daifeng2016 avatar Feb 17 '20 21:02 daifeng2016

Hi, the output of each scale (in our article it is 4) are fused to generate a new output, then a sigmoid layer is followed. In total, five outputs are generated during training, while only the fused output is utilized during test phase. The training code is consistent with that. Maybe you are confused with deep supervison.

Hi! I have a question about the No.5 output result. In your paper, it generated by the following equation: image but in your code, it generated by the following code: image

image is not equal to the conv1_2 , but equal to the image

Is there any conflict in your paper and code? Which one is correct?

Daisy-7 avatar Jul 24 '20 05:07 Daisy-7