octconv-pytorch
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Strided convolutions not implemented
It appears that the stride parameter does not have the desired effect in this implementation of OctConv. It is used to compute the padding, but otherwise has no effect on the convolution (ie does not cause downsampling of the feature map).
For reference, see https://github.com/terrychenism/OctaveConv/issues/4
Hi Andrew, thanks for opening the issue. You are correct.
I will have a look at the issue you linked and will try to fix this. Matching the upsampled and the downsampled maps when the stride is different from one and the filter size is even is quite a puzzle. I'm curious to see how it's handled when the authors will release their implementation.