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conv5 pooling #8

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taraspiotr opened this issue Jul 17, 2018 · 0 comments
Open

conv5 pooling #8

taraspiotr opened this issue Jul 17, 2018 · 0 comments

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@taraspiotr
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Hi!
I was wondering what was the motivation behind performing pooling after already downsampled layer here:

TernausNet/unet_models.py

Line 279 in 85ade9f

center = self.center(self.pool(conv5))

Did you test if it was improving score compared to using downsampling conv layer one more time or simply removing this bottom layer and having conv5 in bottleneck?
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@taraspiotr