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

Question about the SUN RGB-D metric of VA-DepthNet #12

Open
jerry-ryu opened this issue Feb 16, 2024 · 1 comment
Open

Question about the SUN RGB-D metric of VA-DepthNet #12

jerry-ryu opened this issue Feb 16, 2024 · 1 comment

Comments

@jerry-ryu
Copy link

I am writing to you today with a question regarding your impressive paper, "VA-DepthNet: A Variational Approach to Single Image Depth Prediction." I am particularly interested in Table 4, which presents the results on the SUN-RGB-D test set when the model is trained only on the NYU V2 training dataset.

While reading your paper, I noticed that the reported metrics for the SUN-RGB-D test set in Table 4 differ from those presented in other related works, such as the AdaBins paper by Bhat et al. (2021) and the DDP paper by Yuanfeng Ji et al. (2023). I am wondering if there might be an explanation for these discrepancies or if I have perhaps missed some important detail in my understanding.

Metrics written on VA-depthnet:
image
Metrics written on Adabins:
image
Metrics written on DDP:
image

I would be very grateful if you could clarify this point for me. I am eager to learn more about your work and its impressive methodology.

Thank you for your time and consideration.

@cnexah
Copy link
Owner

cnexah commented Apr 2, 2024

Sorry for the late reply!

Yes, the evaluation metrics on SUN-RBGD are different.
Please note we have mentioned in the paper, "In addition, we align the predictions from all the models with the ground truth by a scale and shift following Ranftl et al. (2020)."

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