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mathmanu avatar mathmanu commented on July 29, 2024 1
  1. Center loss
    The definition of your Center Loss layer is in the style of https://github.com/BVLC/caffe
    However, this repository is based on https://github.com/NVIDIA/caffe
    Please look at the definition of layers in this repository and use Ftype, Btype instead of Dtype

  2. Parameters related to sparsity:
    I have put some commements in caffe.proto (search for sparsity_ )
    https://github.com/tidsp/caffe-jacinto/blob/caffe-0.17/src/caffe/proto/caffe.proto
    However, I agree that it is not much. Kindly look at the example scripts as well.

  3. L1 regularization:
    Using L1 regularization make inducing sparaity easier. There may be other techniques that does not use L1 regularization - but the method that we have chosen requires it to be able to induce high amount of sparsity with minimal accuracy loss.

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happy-Bobo avatar happy-Bobo commented on July 29, 2024

thank you for your reply!

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happy-Bobo avatar happy-Bobo commented on July 29, 2024

Hello manu,
Thank you for your guidance, I have try my best to modify the file "center_loss_layer.cpp", but there are still a few mistakes when I build the caffe-jacinto, I don't know how to fix the error, please help me, thanks!
center_loss_layer.cpp.txt
make.log

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