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

Implementation of OFA-DOD #10

Open
xiaofeng94 opened this issue Jan 24, 2024 · 1 comment
Open

Implementation of OFA-DOD #10

xiaofeng94 opened this issue Jan 24, 2024 · 1 comment

Comments

@xiaofeng94
Copy link

Dear authors,

Thanks for your cool job of "Described Object Detection: Liberating Object Detection with Flexible Expressions". I'm impressed by the D^3 dataset and the proposed method OFA-DOD.
However, I only found instructions for the dataset. Did you release the code for OFA-DOD somewhere?

Best.

@Charles-Xie
Copy link
Member

Charles-Xie commented Feb 15, 2024

Hi, thanks for your interest!
We have not released the code for the OFA-DOD baseline.
However, we have just released the code on some other baselines (SPHINX, UNINEXT, G-DINO), and a page for the leaderboard on D3: https://github.com/shikras/d-cube/tree/main/eval_sota. Please have a look if you are interested.
We will continue to work to release the code for more baselines.

If it may interest you, we have also evaluated the MLLM, SPHINX, too, which is the first MLLM benchmarked for DOD.
We are also impressed by your work, generating enhanced negatives, and we have added it in the page too.

Best,
Chi

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