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

About the Loss func #19

Open
xtzd opened this issue Sep 30, 2020 · 2 comments
Open

About the Loss func #19

xtzd opened this issue Sep 30, 2020 · 2 comments

Comments

@xtzd
Copy link

xtzd commented Sep 30, 2020

Hi, I would like to discuss the loss func issue with you :) . Do you think using triplet loss or center loss instead of CE loss in FGVC category could increase the model performance?
Thanks~

@ZF4444
Copy link
Owner

ZF4444 commented Sep 30, 2020

Hi! Interesting idea, but I haven't tried it, so I don't have a definitive answer. These loss functions have been around for a long time, but In the fine-grained classification papers I've looked at, I don't see the use of these two loss functions for fine-grained classification.

@haoweiz23
Copy link

I have tried these metric learning loss on fine-grained task. However, not work.

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