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

Why CBAM parameters can not be trained #2

Open
thb1314 opened this issue Jun 18, 2024 · 1 comment
Open

Why CBAM parameters can not be trained #2

thb1314 opened this issue Jun 18, 2024 · 1 comment

Comments

@thb1314
Copy link

thb1314 commented Jun 18, 2024

After i read your paper and codes, i found that the parameters of CBAM module can not be trained, Why?

@AmirMansurian
Copy link
Owner

Hi

For the teacher model, the network (including its CBAM parameters) is trained. During the student's training process, all teacher parameters are frozen, and the student's parameters are trained, including its attention module. The CBAM module is defined in the Deeplab model, and like all other parameters of the network, they are updated during the backpropagation process.

These details are available in the paper's implementation details section.

Please let me know if there is any ambiguity.

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