A training strategy (OWG-DS) combines domain distance optimization, similarity-based class separation, and adversarial domain classification to adapt deepfake detectors to new forgery types with limited labeled and abundant unlabeled data.
Altfreezing for more general video face forgery 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
-
Towards Open-world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation
A training strategy (OWG-DS) combines domain distance optimization, similarity-based class separation, and adversarial domain classification to adapt deepfake detectors to new forgery types with limited labeled and abundant unlabeled data.