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Deep Feature Fusion for Fake Face Detection by hitsaiml2c is a document available to read on EtoBox.

What is Deep Feature Fusion for Fake Face Detection about?

The document discusses the DF4D-GGAN technique for detecting deepfake images generated by Generative Adversarial Networks (GANs) in consumer space environments. It utilizes Gaussian filtering for image preprocessing, feature fusion through EfficientNet-b4 and ShuffleNet, and hyperparameter optimization via an improved slime mould algorithm, culminating in the use of an extreme learning machine classifier for accurate detection. The study demonstrates improved performance of the DF4D-GGAN technique over exis

Author

hitsaiml2c

Language

EN