Encoder Pretrained Weights.
Luizerko opened this issue · 0 comments
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:
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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.
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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.