CaVINet Save

Code for Deep Cross modal learning for Caricature Verification and Identification (CaVINet), ACM MM, 2018

Project README

CaVINet

Code for Deep Cross modal learning for Caricature Verification and Identification (CaVINet), ACM MM, 2018

Dataset

Please check CaVINet_Dataset folder for the visual as well as the caricature images (both present in independent folders). Note : The CaVI Dataset must be used for research only and not for any profit/commercial purpose. Dataset Directory structure:

CaVINet_Dataset
└───Real
│    └───Angela_Merkel
│    │   │   Angela_Merkel_r_0.jpg
│    │   │   Angela_Merkel_r_1.jpg
│    │   │   ...
│    │   
│    └───Bill_Gates
│    |   │   Bill_Gates_r_0.jpg
│    |   │   Bill_Gates_r_1.jpg
│    |   |   ...
│    |
│    └─── ...
│
└───Caricature
    └───Angela_Merkel
    │   │   Angela_Merkel_c_0.jpg
    │   │   Angela_Merkel_c_1.jpg
    │   │   ...
    │   
    └───Bill_Gates
    |   │   Bill_Gates_c_0.jpg
    |   │   Bill_Gates_c_1.jpg
    |   |   ...
    |
    └─── ...

Requirements

  • Keras with TensorFlow backend
  • Keras-VggFace - pip install keras_vggface
  • python 2.7

Architecture

Pre-trained weights

Link to be added soon. Please stay tuned.

Open Source Agenda is not affiliated with "CaVINet" Project. README Source: lsaiml/CaVINet
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