afm719/DetectorImageAI
In this project, we explored two approaches for detecting fake images (fake vs. real) using Bayesian Convolutional Neural Networks (BCNNs), with a particular focus on estimating the model's uncertainty. The ability of a model to quantify its confidence in a prediction is crucial, especially in sensitive tasks like detecting deepfakes or manipulated
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Apr 09, 2026
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