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
I was training models on a binary segmentation task, and I realized that a lot of the models currently don't work currently at least for binary segmentation except for the models that are more recently updated within the repo. I found this because only those ones have worked for me in coming to what I'd consider a reasonably decent prediction. I've double checked my config files and they definitely are correct. I was just wondering if this is a well-known issue, and is there a list somewhere of models that are compatible with the most recent release? Thanks! :)
The text was updated successfully, but these errors were encountered:
II have the same problem as you. I have tested that fcn,deeplabv3, and unet do not work in binary classification (mIoU=0), but MAE and convnet work well. However, they may not work well after switching datasets.
I wonder if there is an official migration list, or fix this bug soon
I was training models on a binary segmentation task, and I realized that a lot of the models currently don't work currently at least for binary segmentation except for the models that are more recently updated within the repo. I found this because only those ones have worked for me in coming to what I'd consider a reasonably decent prediction. I've double checked my config files and they definitely are correct. I was just wondering if this is a well-known issue, and is there a list somewhere of models that are compatible with the most recent release? Thanks! :)
The text was updated successfully, but these errors were encountered: