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DCMA-CNNs

a demo code of model DCMA-CNNs

Brief Introduction

This is the code with respect to the model DCMA-CNNs, which is proposed in the paper: <Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks>

Settings

  • The model is developed in MATLAB. Experiments are conducted on MATLAB 2014a.
  • Experiments were all run on hardware with 8GB RAM and a single 2.5GHz CPU.
  • The code is based on the DeepLearnToolBox

Data

  • Experiments (details refer to the paper) are conducted on two facial expression datasets: CK+ and JAFFE. You can apply for or directly download these two dataset.
  • This code is just a demo of DCMA-CNNs. I only include six samples (all sampled from the JAFFE dataset) to show how DCMA-CNNs works (training and evaluation).