You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
from the code I have read in your project, it the unpool operation is just an image resize. So basically, this
network is not really a segnet network (at least not in a 'canonical' way from the paper).
Do you plan to use the locations of the max-pool layers to implement the standard unpool op ?
The text was updated successfully, but these errors were encountered:
@DrM175u I am currently working on this, there is also some discussion here: https://github.com/tensorflow/tensorflow/issues/2169. I will keep you up to date if I successfully implement the unpooling using the max indices. Note that you have to register the MaxPool gradient to MaxPoolWithArgmax because that is currently missing in Tensorflow.
@DrM175u correct, the network I have implemented is not the canonical segnet. I have implemented the canonical version, but I decided to leave it outside the scope of the project. It was definitely painful to train it using the argmax-based unpooling layers and, as @jeroen-rooijmans pointed out, MaxPoolWithArgmax is not available for CPUs.
Hello,
from the code I have read in your project, it the unpool operation is just an image resize. So basically, this
network is not really a segnet network (at least not in a 'canonical' way from the paper).
Do you plan to use the locations of the max-pool layers to implement the standard unpool op ?
The text was updated successfully, but these errors were encountered: