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

How to use pre-trained models for semantic segmentation tasks? #12

Open
Magic-lem opened this issue Feb 21, 2024 · 5 comments
Open

How to use pre-trained models for semantic segmentation tasks? #12

Magic-lem opened this issue Feb 21, 2024 · 5 comments

Comments

@Magic-lem
Copy link

Thank you for your great work.
In your paper, you used UpperNet to implement image semantic segmentation. Can you provide the relevant code?

Thank you very much.

@Shanci-Li
Copy link

Hello!

Do you have any updates about the semantic segmentation implementation? I am interested as well :)

@Magic-lem
Copy link
Author

I implemented it using the code in this repository:
https://github.com/CSAILVision/semantic-segmentation-pytorch

@RitwikGupta
Copy link
Member

We ran these experiments using mmseg!

@RitwikGupta RitwikGupta reopened this Mar 4, 2024
@Magic-lem
Copy link
Author

Thank you for your reply. Furthermore, what layers of output do you use to input into UpperNet?

@Mayolov
Copy link

Mayolov commented Jul 15, 2024

@Magic-lem Can you share the code you used to get the same segmentation results?

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

4 participants