Concatenation of 2 different feature maps of different dimension

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Susama Bagchi
Susama Bagchi 2021-3-24
编辑： KALYAN ACHARJYA 2021-3-24
Hi all,
In CNN, 2 feature maps have different dimensions, one is 32x32x1024 and another one is 16x16x2048. If I want to merge them without any change in the feature map, what will be the procedure?
I'm using MATLAB 2020b.
Thanks in advance

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回答（1 个）

KALYAN ACHARJYA
KALYAN ACHARJYA 2021-3-24
编辑：KALYAN ACHARJYA 2021-3-24
Have you refered the following links? (External Links)
https://ai.stackexchange.com/questions/2932/concatenate-convolution-layers-with-different-strides-in-tensorflow
https://stackoverflow.com/questions/64965116/keras-how-to-equalize-the-dimensions-of-2-layers-for-concatenation
If there is no other option left, you may have to choose from the following options -
  • Pad the feature 1 vector with zero to make both x & y are equal.
  • Make feature 2_modified=feature_2(1:2:end,1:2:end,:)
  • Resize any one, so that both can be perfectly concatenate
Hope it helps
  2 个评论
Susama Bagchi
Susama Bagchi 2021-3-24
Hi,
Thank you for your prompt reply. But I found that both the links are not for MATLAB.
In my case, I tried to upsample 16x16x2048 feature map. But to match the filter size if I use a convolution layer, it seems due to its weight the feature map is not the same. Is there any solution in this regard?
KALYAN ACHARJYA
KALYAN ACHARJYA 2021-3-24
编辑：KALYAN ACHARJYA 2021-3-24
Yes, these lines are not MATLAB, but you can get the idea, so that it can be implemented in MATLAB as well.

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