AI Reddit 3d ago 2 min read
Highlighted in r/MachineLearning, VeridisQuo fuses an EfficientNet-B4 spatial stream with FFT and DCT frequency features, then uses GradCAM remapping to show which facial regions triggered a deepfake prediction.
Highlighted in r/MachineLearning, VeridisQuo fuses an EfficientNet-B4 spatial stream with FFT and DCT frequency features, then uses GradCAM remapping to show which facial regions triggered a deepfake prediction.
A well-received r/MachineLearning post introduced VeridisQuo, an open-source deepfake detector that fuses spatial and frequency-domain signals and overlays GradCAM heatmaps onto manipulated video frames. The project stands out because the author shared concrete architecture and training details instead of just a demo clip.