Learning to Discover Forgery Cues for Face Forgery Detection

J Tian, P Chen, C Yu, X Fu, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Locating manipulation maps, ie, pixel-level annotation of forgery cues, is crucial for
providing interpretable detection results in face forgery detection. Related learning objects …

Exploring Bi-Level Inconsistency via Blended Images for Generalizable Face Forgery Detection

P Jiang, H Xie, L Yu, G Jin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The challenge of generalization in face forgery detection has become increasingly
prominent as manipulation techniques continue to evolve. Although recent image blending …

Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization

C Miao, Q Chu, T Gong, Z Tan, Z Jin, W Zhuang… - arXiv preprint arXiv …, 2024 - arxiv.org
With the advancement of face manipulation technology, forgery images in multi-face
scenarios are gradually becoming a more complex and realistic challenge. Despite this …

[HTML][HTML] A hybrid CNN-LSTM approach for precision deepfake image detection based on transfer learning

OAHH Al-Dulaimi, S Kurnaz - Electronics, 2024 - mdpi.com
The detection of deepfake images and videos is a critical concern in social communication
due to the widespread utilization of deepfake techniques. The prevalence of these methods …