# What are the recommended ways to change shape of feature maps channel wise other than using Convolutional neural networks?

Suppose I have a feature map with size $$C_1 \times H \times W$$. And I need to convert it into a feature map of size $$C_2 \times H \times W$$.

One way to do this is to use convolutional neural networks as Conv2d($$C_1, C_2$$)

I want to know whether there are any other ways in Literature to perform the desired operation?

• any specific goal in mind when thinking about resizing these feature maps? from the way the question is phrased now it seems you're asking for a generic list that potentially include any matrix operation Oct 12, 2021 at 7:54
• @EdoardoGuerriero Goal is to down-sample only, but without learning parameters. Oct 12, 2021 at 8:47