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Upsample: differences in paper from implementation #45

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guillaumefrd opened this issue Oct 7, 2020 · 0 comments
Open

Upsample: differences in paper from implementation #45

guillaumefrd opened this issue Oct 7, 2020 · 0 comments

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@guillaumefrd
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In the _make_fuse_layers, the upsampling is done after the 1x1 convolution. However, in the paper the upsampling is done before.

If x > r, f_{xr}(R) upsamples the input representation R through the bilinear upsampling followed by a 1 × 1 convolution for aligning the number of channels.

Moreover, the paper is using bilinear upsampling while the implementation uses with mode='nearest'.

Is there any reasons for these two differences ?

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