You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thank you for sharing the code for SphereFace in Pytorch! Very interesting work!
I have been using your code for SphereFace loss and was wondering how do you arrive at the value of m. I want to explore the usage of this loss function for different datasets(AWA, SUN etc.) and have currently used only the default values(s=30, m=1.5).
It'd be great if you can elaborate how one can arrive at the value of m and tune it for different datasets.
Thanks again!
The text was updated successfully, but these errors were encountered:
Hi,
Thank you for sharing the code for SphereFace in Pytorch! Very interesting work!
I have been using your code for SphereFace loss and was wondering how do you arrive at the value of m. I want to explore the usage of this loss function for different datasets(AWA, SUN etc.) and have currently used only the default values(s=30, m=1.5).
It'd be great if you can elaborate how one can arrive at the value of m and tune it for different datasets.
Thanks again!
The text was updated successfully, but these errors were encountered: