Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
-
Updated
Dec 7, 2022 - Jupyter Notebook
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Determine whether a given video sequence has been manipulated or synthetically generated
Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
Audio deepfake detection sytem on CNN
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
Deepfake Detector is an AI/ML model designed to detect AI-generated or manipulated images.
Helpful resources for creating deepfakes.
Towards deepfake detection that actually works
Prototipo web con TFJS para detectar imágenes falsas "DeepFake" utilizando redes neuronales convolucionales.
A deepfake detection / classificatrion using CNNs models with PyTorch lib based on the ICPR2020 project.
Deep fake detection of videos utilizing scatternet layers.
A deepfake detection / classificatrion using CNNs models with Keras and Tensorflow lib.
Classification of real-fake faces using neural networks.
As the crime rates have increased due to fake images and videos, it has become the need of the hour today to build technologies that could identify these threats and protect us from any potential scams. This project aims to implement a DCGAN (Deep Convolutional Generative Adversarial Network) to generate "fake" images based on an existing datase…
Prototipo de escritorio para detectar imágenes falsas "DeepFake" utilizando MobileNetV2
Add a description, image, and links to the deepfakes-classification topic page so that developers can more easily learn about it.
To associate your repository with the deepfakes-classification topic, visit your repo's landing page and select "manage topics."