Body: <p>Suppose I have a feature map with size <span class="math-container">$C_1 \times H \times W$</span>. And I need to convert it into a feature map of size <span class="math-container">$C_2 \times H \times W$</span>.</p>
  <p>One way to do this is to use convolutional neural networks as <a href="https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html" rel="nofollow noreferrer">Conv2d(<span class="math-container">$C_1, C_2$</span>)</a></p>
  <p>I want to know whether there are any other ways in Literature to perform the desired operation?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-10-12T07:54:21.593Z
Comments.Text: 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
Comments.UserDisplayName: Edoardo Guerriero
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-10-12T08:47:11.287Z
Comments.Text: @EdoardoGuerriero Goal is to down-sample only, but without learning parameters.
Comments.UserDisplayName: hanugm
Tags: <channel><feature-maps>
Title: What are the recommended ways to change shape of feature maps channel wise other than using Convolutional neural networks?
UserDisplayName: hanugm
ThreadText: # What are the recommended ways to change shape of feature maps channel wise other than using Convolutional neural networks?
  
  (Asked by: username_0 on 2021-10-11)
  
  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($C\_1, C\_2$)](https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html)
  
  I want to know whether there are any other ways in Literature to perform the desired operation?
  
  **Tags:** channel, feature-maps
  > **Comments:**
  > **username_1**: 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  
  > **username_0**: @EdoardoGuerriero Goal is to down-sample only, but without learning parameters.  
  
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  ## 0 answers
  
  