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

loss function #9

Open
Nd-sole opened this issue May 15, 2021 · 2 comments
Open

loss function #9

Nd-sole opened this issue May 15, 2021 · 2 comments

Comments

@Nd-sole
Copy link

Nd-sole commented May 15, 2021

Hey,

Can you share the loss function implementation which you use for your paper? I want to reimplement your paper.

@lucaskyle
Copy link

i think u may check their previous works
https://github.com/haofanwang/accurate-head-pose

in the paper they mentioned:

A new wrapped-loss stabilizes the network at large yaws.

Yaw prediction is divided into 120 3◦ bins covering the full range of yaws (−180◦,180◦].
Pitch and roll predictions are each made from 66 3◦ bins covering the range [−99◦,99◦], although
only the bins from [−90,90] are ultimately used.

i think they just quite the same.

@Algabri
Copy link

Algabri commented Apr 12, 2023

@Nd-sole did you find their loss function? I would like to implement it with Pytorch. I did not find it here https://pytorch.org/docs/stable/nn.html#loss-functions

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

3 participants