DAR-SFRL: Degradation-adaptive Attack-Robust Self-Supervised Facial Representation Learning

0. Contents

1. Requirements
2. Data Preparation
3. Pre-trained Models
4. Training
5. Evaluation

1. Requirements

To install requirements: Python Version: 3.7.9

pip install -r Requirements.txt

2. Data Preparation

You need to download the related datasets and put in the folder which namely dataset.

3. Pre-trained Models

You can download our trained models from [Baidu Drive].

4. Training

To train the model in the paper, run this command:

python main.py --config_file configs/remote_DAR_vox.yaml

5. Evaluation

We used the linear evaluation protocol for evaluation.

5.1 FER

To evaluate on RAF-DB, run:

python main.py --config_file configs/remote_DAR_linear_eval.yaml

TODO

• Refactor the codes of AU detection and face recognition.

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