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
Currently Imagenet-pretrained encoders are used. It might be a good idea to load encoder weights pertained on our dataset.
A simple solution should be to use the EfficientUnet++ architecture and just cut all skip-connections between encoder/ decoder thus creating an autoencoder...
The text was updated successfully, but these errors were encountered:
Currently Imagenet-pretrained encoders are used. It might be a good idea to load encoder weights pertained on our dataset.
A simple solution should be to use the EfficientUnet++ architecture and just cut all skip-connections between encoder/ decoder thus creating an autoencoder...
The text was updated successfully, but these errors were encountered: