hello,
the topic I'm referring to was already discussed in Issue 15.
Because your paper says: Reducing the number of routing iterations in the initial layers that are larger in size reduces the complexity .... In addition, using 3D-convolution-inspired routing in the middle layers ... reduces the number of parameters.
But in fact, you are using your routing algorithm just in one single residual connection in the last block (not in 'middle layers'), or have I misunderstood something here?
Do you have an experiment that shows that the routing in this single layer actually improves the accuracy?
hello,
the topic I'm referring to was already discussed in Issue 15.
Because your paper says:
Reducing the number of routing iterations in the initial layers that are larger in size reduces the complexity .... In addition, using 3D-convolution-inspired routing in the middle layers ... reduces the number of parameters.But in fact, you are using your routing algorithm just in one single residual connection in the last block (not in 'middle layers'), or have I misunderstood something here?
Do you have an experiment that shows that the routing in this single layer actually improves the accuracy?