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"A GAN-Based Model of Deepfake Detection in Social Media" by Preeti, Manoj Kumar et al.

DeepFake uses Generative+Adversarial Network for successfully switching the identities of two people. Large public databases and deep learning methods are now rapidly available because of the proliferation of easily accessible tools online. It has resulted in the emergence of very real appealing fake content that produced a bad impact and challenges for society to deal. Pre-trained generative adversarial networks (GANs) that can flawlessly substitute one person's face in a video or image fo...
Adversarial Network Deep Convolution Based Inception Score Inception Distance Deep Fakes Deep Learning
Source: uow.edu.au

"Multi-SelfGAN: A Self-Guiding Neural Architecture Search Method for Ge" by Jiachen Shi, Guoqiang Zhou et al.

In recent years, Reinforcement Learning and Gradient optimization were applied with Neural Architecture Search algorithms in Generative Adversarial Network to achieve their state-of-the-art (SOTA) performance. However, the existing RL-based methods utilised the calculation of Inception Score or Frรฉchet Inception Distance as the reward value to guide the controller, which actually wasted much of searching time. In order to improve the search efficiency without degradation of performance, this pa...
Generative Adversarial Network Reinforcement Learning Neural Architecture Search Inception Score Inception Distance Computer Architecture
Source: uow.edu.au

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