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DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild

This is the code for DisguiseNet paper which was accepted at CVPR Disguised Faces in Wild Workshop, 2018.

Requirements

  • Keras-VGG Face : pip install keras_vggface
  • Python 2.7 - Currently not compatible with other versions
  • Keras with Tensorflow backend- pip install keras

Architecture

Citation

@inproceedings{peri2018disguisenet,
  title={DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild},
  author={Peri, Skand Vishwanath and Dhall, Abhinav},
  booktitle={CVPR Workshop on Disguised Faces in the Wild},
  volume={4},
  year={2018}
}

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mike112223 boragocode imcgu

disguisenet's Issues

Question about dfw

@pvskand
Hello,thanks to provide this great project!I look the dfw paper that disguiseNet had engaged in so I wonder how can I use dfw testing data mask matix?

Does anyone know how can I use mask matrix to make dfw test data follow 3 protocols?

The dfw paper is below here:
In order to correctly follow the protocols mentioned above,and report corresponding accuracies, training and testing mask matrices are also provided along with the dataset.

Thank you if you know it,please reply me.

error while running disguiseNet.py

Hi, I'm really new to deep learning. While running disguiseNet.py in python, I keep getting the error
File "disguiseNet.py", line 97
print vgg_model.summary()
^
SyntaxError: invalid syntax
I even tried running it in Jupyter Notebook in windows but it shows the same error. Any help will be appreciated.

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