Detection generalisation
Definition
The capacity of a trained detector to correctly identify deepfakes produced by generators not seen during training. Low generalisation is the central limitation of current deepfake detection systems.
Related terms
- CNN residual detector
- A convolutional neural network trained on the high-frequency residual image, the difference between the original and a de-noised version, to classify whether...
- Frequency-domain artefact
- A periodic or statistical anomaly in the Fourier spectrum of an image or audio signal introduced by the generation pipeline's upsampling, filter,...
- Noiseprint
- A CNN-based camera-model fingerprint extractor by Cozzolino and Verdoliva. Applied to deepfakes, it reveals inconsistency between the camera fingerprint in the genuine...
- Physiological signal
- A biological process visible in video, such as eye blinking, rPPG (remote photoplethysmography), and head micro-motion from the cardiac cycle, that deepfake...
- rPPG
- Remote photoplethysmography. A technique for measuring heart rate from subtle periodic colour changes in facial skin caused by blood-volume pulses. Authentic video...
Explained in
- Deepfake Detection: Signal, Physiological, and Semantic MethodsThe capacity of a trained detector to correctly identify deepfakes produced by generators not seen during training. Low generalisation is the central limitatio...