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 performance of Referring Image Segmentation task #57

Open
golddohyun opened this issue Jan 11, 2024 · 0 comments
Open

Comments

@golddohyun
Copy link

Hi, first of all, thank you for the great and interesting work!
I am struggling to reproduce the G-ref (RefCOCOg) reported performance, and I need your suggestions and detailed info.
I used the exact config provided in the repo and got a val mIoU of 63.02 and oIoU of 60.06 in stead of 66.42 and 63.12 in your paper.
Could you provide more details such as the exact number of iterations, number of GPUs you used for training, global batch size ( i guess in the config the local? batch size is 4) and the version of the libraries, and the exact training time.

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