Submitted by AutoModerator t3_11pgj86 in MachineLearning
loly0ss t1_jdloewa wrote
Hello everyone,
I had a very ignorant question which I’m trying to find an answer too but i still couldn’t find it.
In terms of the deep learning model in supervised segmentation vs semi-superised segmentation.
Is the model itself the same in both cases, for example using Unet++ for both? And the only diffference comes during training where we use psuedo-labels for example for semi-supervised segmentation?
Or is the model different when it comes between supervised vs semi-supervised segmentation?
Thank you!
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