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nabsabraham avatar nabsabraham commented on August 16, 2024

Hi Liu! I hope my email replies were sufficient for you - as I said, the FTL is a polynomial loss function, there are sometimes stability issues that I mitigated using deep supervision (as an averaging method) and early stopping and model checkpointing (to get the best model as the loss convergence was not always stable) and parameter initialization (used in this repo). Hope this helps any future research directions! :)

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Halleyawoo avatar Halleyawoo commented on August 16, 2024

Dear Nabila Abraham:
I have a question about your paper, when i run your codes, the ISIC dataset result can be able to reach the scope of the paper dsc: 0.849 ~ 0.863, but the bus dataset B result is uncertain and can't achieve the results in the paper dsc: 0.78 ~ 0.839. Do you konw why?
the paper mention the experiment is 5-fold cross-validation, it says your hyperparameters got through this?

HI,could you share the link of these two dataset?

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