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 on mini-ImageNet #30

Open
Jxt5671 opened this issue Nov 26, 2021 · 1 comment
Open

the performance on mini-ImageNet #30

Jxt5671 opened this issue Nov 26, 2021 · 1 comment

Comments

@Jxt5671
Copy link

Jxt5671 commented Nov 26, 2021

Hi,DPGN teams:
I am interested in your paper,so I ran your code on my computer.
When I ran the 5-way 1-shot task, I found that the test_ACC value began to rise until it reached a maximum of 57.8 at 18000 steps, and then began to decline slowly until it finally reached 52.7%. What is the reason? Is it because I set the num_workers workers in the dataloader.py to 0?

@zilunzhang
Copy link
Collaborator

Hi,

Please refer to this question

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

2 participants