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.

Sign up for GitHub

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

Jump to bottom

More explanation regarding fusion module #26

Open
AdityaNikhil opened this issue Feb 23, 2021 · 1 comment
Open

More explanation regarding fusion module #26

AdityaNikhil opened this issue Feb 23, 2021 · 1 comment

Comments

@AdityaNikhil
Copy link

AdityaNikhil commented Feb 23, 2021 •
edited
Loading

Hi there,

I am working on re-implementing your paper in TensorFlow. The details you provided regarding Instance and full image networks are straight-forward. But I request you to please provide more instructions on how exactly to fuse these to get results. Especially I am confused about how to utilize the bounding box co-ordinates of each instance and marking the location inside the full image and training on it.
@lkp520
Copy link

lkp520 commented Aug 6, 2021

I also need more details of fusion module.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@AdityaNikhil @lkp520