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Questions about the implementation #17

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sayakpaul opened this issue Nov 3, 2021 · 1 comment
Closed

Questions about the implementation #17

sayakpaul opened this issue Nov 3, 2021 · 1 comment

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@sayakpaul
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Hi.

I am trying to implement MicroNet in TensorFlow. I am trying to understand the computation differences between SpatialSepConvSF and DepthSpatialSepConv. From the looks of it, their blocks look all the same to me barring the number of output channels that could have been efficiently parameterized through a single class I believe.

The only difference seems to be the ChannelShuffle layer in the former i.e., the SpatialSepConvSF block. ChannelShuffle isn't mentioned in the paper as well.

Could you shed some light?
@liyunsheng13
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The implementation is very similar. The SpatialSepConvSF is used on layers with different input and output channels.

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@liyunsheng13 @sayakpaul