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3 convolutional layers instead of 2 per level to extract feature pyramid perform better? #112

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limpbot opened this issue Jul 17, 2020 · 1 comment

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@limpbot
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limpbot commented Jul 17, 2020

Hi guys, in your pytorch implementation you are using 3 convolutional layers per level to extract the feature pyramid.
In the paper you only talk about two layers, are there insights that 3 layers perform better?

Best,
Leo

@limpbot
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limpbot commented Jul 17, 2020

ok i found it in the ablation studies, my bad.

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