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Models compatible with the most recent version

Open jacksteussie opened this issue 1 year ago • 2 comments

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! :)

jacksteussie avatar Apr 08 '24 20:04 jacksteussie

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

lt000715 avatar Apr 24 '24 09:04 lt000715

@lt000715 Can you share about how to train MAE to do segmentation on a custom dataset?

ayushnangia avatar Jun 25 '24 03:06 ayushnangia