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

susperious data leakage ? #23

Open
blacksino opened this issue Oct 24, 2022 · 0 comments
Open

susperious data leakage ? #23

blacksino opened this issue Oct 24, 2022 · 0 comments

Comments

@blacksino
Copy link

Hi, I found that you used SuperGlue and SuperPoint as feature extractor and matcher, as far as I know, these two algorithms are trained supervisedly, Is there any suspicion of data leakage here? This approach may affect the fairness of your experiment, because the Colmap-based pose information is not data-driven, and your method somehow references external extra data unless your experimental data is entirely based on SIFT and Bfmatcher.

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