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

Recall@1% on Oxford is higher than that in the paper. #5

Open
banxiyan opened this issue Sep 30, 2022 · 1 comment
Open

Recall@1% on Oxford is higher than that in the paper. #5

banxiyan opened this issue Sep 30, 2022 · 1 comment

Comments

@banxiyan
Copy link

Thanks for your great work, the recall@1% on Oxford is higher than that in the paper, which is trained by the default config in your repository. Is it normal?

@Master-cai
Copy link

Thanks for your great work, the recall@1% on Oxford is higher than that in the paper, which is trained by the default config in your repository. Is it normal?

hi, I have the same issue, I trained evaluated the network by default and got 87.39% recall, do you have any idea about that? By the way, i find in the file "train_pointnetvlad", the global variable "HARD_NEGATIVES={}" is never updated which means it is useless, is there something wrong here?

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