Hi!
I was wondering what was the motivation behind performing pooling after already downsampled layer here:
|
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?
Hi!
I was wondering what was the motivation behind performing pooling after already downsampled layer here:
TernausNet/unet_models.py
Line 279 in 85ade9f
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?