Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Reproducing the results from the paper #63

Open
deval281shah opened this issue Mar 16, 2021 · 0 comments
Open

Reproducing the results from the paper #63

deval281shah opened this issue Mar 16, 2021 · 0 comments

Comments

@deval281shah
Copy link

Hi,
Thank you very much for providing the code! I am trying to reproduce the results provided in the paper for protocol 1. I used the processed dataset from the link provided in this repo.

I am using the following command for training for FSA_Net_capsule:
KERAS_BACKEND=tensorflow python FSANET_train.py --batch_size 16 --nb_epochs 90 --model_type 2 --db_name '300W_LP'..

I get MAE=5.687 for AFLW2000. I am expecting ~5.07 as shown in the paper. Am I using the wrong command or missing any hyperparameter setting?

Thank you!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant