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

Clarification of architecture used to do benchmarking on RGB dataset #45

Open
charan1561 opened this issue Nov 13, 2024 · 0 comments
Open

Comments

@charan1561
Copy link

Hi @fangchangma @AkariAsai @abdo-eldesokey,

Thank you for sharing the benchmarking results on NYU Depth V2.
I noticed the metrics for "Ours-RGB" and would like to understand more about the architecture or model configuration used to achieve these results.

Specifically, I am interested in the Backbone, Decoder and sample rate used for depth estimation model.

image

Thank you for your assistance!

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