Python implementation of ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI2022.

Last update: Oct 24, 2022

Overview

ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

Binh M. Le & Simon S. Woo, "ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images."
Thirty-Sixth AAAI Conference on Artificial Intelligence. 2022. Canada

Overview of our framework

Installation

Ubuntu 18.04.5 LTS
CUDA 10.2
Python 3.6.10
python packages are detailed separately in requirements.txt.

Datasets

NeuralTextures [Dataset] [Paper]
DeepFakes [Dataset] [GitHub]
Face2Face [Dataset] [Paper]
FaceSwap [Dataset] [GitHub]
FaceShifter [Dataset] [Paper]

Grad-CAM

Star if you find it useful. ⭐

Owner

Ph.D. student @ Sungkyunkwan University, South Korea

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Python implementation of ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI2022.

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