A reinforcement learning tutor re-weights deepfake training samples using historical performance signals to improve generalization on unseen manipulations.
Celeb-df: A large-scale challenging dataset for deepfake forensics
2 Pith papers cite this work. Polarity classification is still indexing.
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DYMAPIA builds dynamic anomaly masks from Fourier spectra, texture, edges, and optical flow to guide a lightweight DistXCNet classifier, reporting over 99% accuracy and F1 on FF++, Celeb-DF, and VDFD.
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Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection
A reinforcement learning tutor re-weights deepfake training samples using historical performance signals to improve generalization on unseen manipulations.
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DYMAPIA: A Multi-Domain Framework for Detecting AI-based Video Manipulation
DYMAPIA builds dynamic anomaly masks from Fourier spectra, texture, edges, and optical flow to guide a lightweight DistXCNet classifier, reporting over 99% accuracy and F1 on FF++, Celeb-DF, and VDFD.