Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
src
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

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.

About

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

Resources

License

Packages

No packages published
You can’t perform that action at this time.