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Doubling channels before pooling #10
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Nice catch! |
Thank you. It does for the downward pass (i.e. left side of figure). However the bottom "block" should be Pool -> Conv 256 -> Conv 512 -> Deconv 512 -> Concat. It's not apparent in the paper or figure, but if you look at the prototxt you'll see it. It's also helpful to visualize the prototxt, which you can do here. I might submit a PR later today that fixes it. That being said - I'm not sure if it will improve performance. So it goes with deep nets. :) |
This commit reenables training with Horovod which was removed due to Horovod changes while moving to TensorFlow 2.
This commit reenables training with Horovod which was removed due to Horovod changes while moving to TensorFlow 2.
Hello,
Looking at your code in
model.py
, it seems that you overlooked this statement on page 4 of the Cicek paper:I annotated the figure below:
I believe this wasn't the case in 2D UNet, so it's likely a copy-paste artifact. I'm not sure what difference it will make in terms of performance, but I figured it's worth mentioning.
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