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

BCE Loss or L1 Loss for Depth Loss #200

Open
DFLyan opened this issue May 14, 2024 · 0 comments
Open

BCE Loss or L1 Loss for Depth Loss #200

DFLyan opened this issue May 14, 2024 · 0 comments

Comments

@DFLyan
Copy link

DFLyan commented May 14, 2024

As mentioned in your paper, I want to use L1 loss for depth estimation. However, when I only modify F.binary_cross_entropy to F_loss, the algorithm cannot converge. Are there other modifications in the code to reproduce the result in your paper when using L1 loss for depth estimation?
Thanks!
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
1 participant
@DFLyan