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

Encoder Pretrained Weights. #57

Open
Luizerko opened this issue Nov 18, 2021 · 0 comments
Open

Encoder Pretrained Weights. #57

Luizerko opened this issue Nov 18, 2021 · 0 comments

Comments

@Luizerko
Copy link

Hello guys.

I'm using the ERFNet Encoder for a project of mine and I had some issues because of the additional conv layer (output_conv). After getting different feature maps every time I ran the network, I realized that this layer didn't have any pretrained weights and I was getting different results because of random initialization. So now I have two questions:

  1. Do you have trained weights for this layer? If that`s the case, could you share them with us? Of course I can use the previous layer as the encoder's output, but the big number of filters is really an issue in my project, so having 20 filters would be much better.

  2. Just out of curiosity, how was this additional layer trained? Did you use a scaled version of the original annotated image as the ground truth?

Thank you very much in advance.

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

1 participant