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

The performance result #1

Open
mingminzhen opened this issue Sep 18, 2017 · 7 comments
Open

The performance result #1

mingminzhen opened this issue Sep 18, 2017 · 7 comments

Comments

@mingminzhen
Copy link

Do you have tried it on VOC or cityscape dataset?

@Lextal
Copy link
Owner

Lextal commented Sep 19, 2017

In progress

@AliBuildsAI
Copy link

any updates?

@jind11
Copy link

jind11 commented Feb 5, 2018

I have the same question, without large effective batch size (for batch normalization) like over 32, it is hard to reproduce the results in the original paper, and pytorch is not good at synchronizing different gpus

@ginobilinie
Copy link

It seems that the pyramid pooling module cannot really help improve the performance for me.

@xuwh15
Copy link

xuwh15 commented Aug 20, 2018

@Lextal Do you have codes for trying on cityscapes dataset?

@caijinyue
Copy link

any updates about the preformance?

@liberty-hit
Copy link

Any updates?

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

8 participants