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

Can the model reach the loss value and accuracy given in the paper? #94

Open
Adenialzz opened this issue Feb 27, 2021 · 3 comments
Open

Comments

@Adenialzz
Copy link

Can the model reach the values given in the paper with backbone network is MobileNet, VGG16, Inception-V2 respectively. And according to my experiments, It can not. So I wonder if there something wrong in my implementation. It will be appreciated if you can share your experiment result with me.

@Asomey
Copy link

Asomey commented Dec 26, 2021

hello bro, i want to ask a question that how can l evaluate the network‘s performance. Since i saw many evaluation standards given by authors like EMD,LCC,SRCC. How can i calculate these evaluation standards. Thanks bro.

@Adenialzz
Copy link
Author

hi, bro. The scipy library already provides a method to calculate the correlation coefficient:
from scipy.stats import pearsonr
from scipy.stats import spearmanr
As for emd, you can check the src/utils/losses.py file in this repo.

@gohna
Copy link

gohna commented Jun 29, 2022

Hello, I would like to ask whether there is a big difference between your Mobilenet and VGG, because I need pre-trained NimA for other tasks, but the result I directly predicted by using this pre-trained model is quite different from that in the paper, I want to know whether it is the problem of Backbone or the startup parameters of Nima

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