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

Statement of the performance correction in FB15K-237-IMG #17

Closed
zxlzr opened this issue Oct 31, 2022 · 0 comments
Closed

Statement of the performance correction in FB15K-237-IMG #17

zxlzr opened this issue Oct 31, 2022 · 0 comments
Labels
bug Something isn't working

Comments

@zxlzr
Copy link
Contributor

zxlzr commented Oct 31, 2022

Dear all,

We found a severe bug in the data processing code for FB15K-237-IMG, which leads to an unfair performance comparison. We are very sorry for that.

The bug was caused by a data processing function that wrongly feeds the images of head entities similar to the images of tail entities (those images should be filtered for a fair comparison). Due to poor version control, we mistakenly used the buggy version to obtain the performance.

The bug has been fixed now. We have updated the performance in arxiv and released the checkpoints (The model trained with/without the severe bug) for reproducibility.

The correct fully-supervised performance (without carefully hyper-parameter tuning) is hit@1 0.256 hit@3 0.367 hit@10 0.504 MR 221, which is still better than previous multimodal baselines and does not affect the paper's conclusion.

Sincerely,
All authors

@zxlzr zxlzr closed this as completed Oct 31, 2022
@zxlzr zxlzr pinned this issue Oct 31, 2022
@zxlzr zxlzr added the bug Something isn't working label Oct 31, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
bug Something isn't working
Projects
None yet
Development

No branches or pull requests

1 participant