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

Some confusions about this great work #35

Open
ShihuaHuang95 opened this issue Sep 9, 2021 · 1 comment
Open

Some confusions about this great work #35

ShihuaHuang95 opened this issue Sep 9, 2021 · 1 comment

Comments

@ShihuaHuang95
Copy link

Many thanks for your great work. And I have read your excellent paper, but I got a few confusion after reading.

  1. It is kind of you to release the codes, but I could not find any trained model corresponding to the results stated in the paper. Could you please provide the corresponding trained weights?

  2. As you have provided the detectron pre-trained models, and the Mask RCNN with R50+FPN in detectron2 achieved Box AP 38.6 and Mask AP 35.2, which is much higher than the baseline provided in your paper. I am wondering which baseline you have used?

@ShihuaHuang95 ShihuaHuang95 changed the title Some confusion about this great work. Some confusions about this great work Sep 9, 2021
@dongzhang89
Copy link
Owner

@ShihuaHuang95 Thanks your attention.

  1. Thanks for your suggestions.
  2. Baseline is based on BFP, not FPN.

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