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!