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xavirema / lena_pooling

This is the code associated to the IEEE CVPR'17 article "Viraliency: Pooling Local Virality"

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LENA pooling layer

The LEarned top-N Average (LENA) pooling layer is implemented in this repository within the caffe deep learning framework. The list of modifications from the original repository follow:

  • Adding the files "src/caffe/layers/lena_pooling_layer.cpp" and "include/caffe/layers/lena_pooling_layer.hpp". No CUDA implementation is available at the moment.
  • Modifying the protobuffer definition to accomodate a lena_parameter message.
  • Allow boolean blobs with 5 dimensions.

If you are using LENA in your research, refer to the CVPR'17 article:

Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe and Elisa Ricci, Viraliency: Pooling Local Virality, IEEE CVPR 2017.

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This is the code associated to the IEEE CVPR'17 article "Viraliency: Pooling Local Virality"

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