Pixel-wise temporal frequency features, computed by a 1D Fourier transform along the time axis after median filtering, improve cross-dataset and cross-synthesis deepfake video detection over stacked spatial-frequency and RGB-temporal baselines.
Self-supervised learning of adversarial example: T owards good generalizations for deepfake detection
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection
Pixel-wise temporal frequency features, computed by a 1D Fourier transform along the time axis after median filtering, improve cross-dataset and cross-synthesis deepfake video detection over stacked spatial-frequency and RGB-temporal baselines.