CNN: How to implement features obtained by global max pooling into a regression later as output images?

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Sungkun
Sungkun 2020-7-1
编辑： Madhav Thakker 2020-12-22
Hi,
I have modified the CNN structure, using the regression layer. As usual, we have to use the same size of images for input and output. As shown in the attachment, the actual image size should be 32x32 with 3 channels. But I want to use features obtained by global maximum pooling (GMP) for the input and output. All features would be 1x1x128.
Is there any way to implement 1x1x128 features acquired by GMP into the regression layer as output images?

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