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

Applying the Model on the 2021 Dataset #7

Open
feenix-ho opened this issue Oct 20, 2021 · 1 comment
Open

Applying the Model on the 2021 Dataset #7

feenix-ho opened this issue Oct 20, 2021 · 1 comment

Comments

@feenix-ho
Copy link

feenix-ho commented Oct 20, 2021

I am currently using the 2020 text based model as the baseline for the 2021 dataset. However, I do not have the accessibility to the 2020 dataset and thus have no idea about the file containing deep captions (since I cannot find the deep_captions.txt file in the folder that the Committee provided).
I want to know whether the 2020 model can run without the deep captions data.
If yes, where can I modify that?
If no, can I do anything to work around?
Thank you.

@jormalaaksonen
Copy link
Member

Hello! deep_captions.txt was generated at Aalto University using our pre-existing model and not distributed to other task participants. As you can see reported in https://www.eurecom.fr/publication/6438/download/data-publi-6438.mediaeval20_paper_57.pdf , it did not bring any advancement to the results so you do not lose anything even though you do not have it. To me it seems that you could replace deep_captions with an array of 590 empty strings.

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

2 participants