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FaCoR

The source code for the paper: "Kinship Representation Learning with Face Componential Relation" in ICCV 2023 Workshop (Analysis and Modeling of Faces and Gestures) (Paper link).

Quick Start

1.We recommend using a virtual environment to install the required packages. Python 3.7 or 3.8 is recommended. To install them execute:

conda env create -f environment.yml

2.Download the THz Dataset as below:

https://drive.google.com/file/d/1pWRAhHSZYFb54qC3dUDCgtmSfOCmqgp3/view?usp=sharing

3.Please put the decompressed data in ./

Run the code

All hyper-parameters can be modified in run.sh

sh run.sh

The result would be save in .txt

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