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Face Forgery Detection via Multi-Scale and Multi-Domain Features Fusion
IET Image ProcessingDeepfake, as a popular form of visual forgery technique on the Internet, poses a serious threat to individuals' data privacy and security. In consumer electronics, fraudulent schemes leveraging Deepfake technology are widespread, making it urgent to ...
Rongrong Gong +4 more
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2025 IEEE 17th International Conference on Computer Research and Development (ICCRD)
With the rapid development of related technologies, face forgery techniques have become increasingly sophisticated. Meanwhile, it brings some potential risks.
Jia Meng +3 more
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With the rapid development of related technologies, face forgery techniques have become increasingly sophisticated. Meanwhile, it brings some potential risks.
Jia Meng +3 more
semanticscholar +1 more source
Uncertainty-Aware Hierarchical Labeling for Face Forgery Detection
Pattern Recognition, 2023Bingyao Yu +4 more
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Face Forgery Detection Based On Segmentation Network
2021 IEEE International Conference on Image Processing (ICIP), 2021Yingbin Zhou +3 more
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A review of human face forgery and forgery-detection technologies
Journal of Image and Graphics, 2022Cao Shenhao +3 more
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Distilled transformers with locally enhanced global representations for face forgery detection
Pattern RecognitionFace forgery detection (FFD) is devoted to detecting the authenticity of face images. Although current CNN-based works achieve outstanding performance in FFD, they are susceptible to capturing local forgery patterns generated by various manipulation ...
Yaning Zhang +3 more
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A Detail-Aware Transformer to Generalizable Face Forgery Detection
IEEE transactions on circuits and systems for video technology (Print)Generalisable face forgery detectors strive to detect forgeries generated by unseen manipulations. Recently advanced detection methods have managed to capture subtle blending traces, but their neglect of the diversity of blending traces in different ...
Jiaming Li +3 more
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Towards generalizable face forgery detection via mitigating spurious correlation
Neural NetworksThe continuous advancement of face forgery techniques has caused a series of trust crises, posing a significant menace to information security and personal privacy. In response, deep learning is being employed to develop effective detection methods to identify deepfake images and videos.
Ningning Bai +5 more
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Generalizing Face Forgery Detection via Uncertainty Learning
Proceedings of the 31st ACM International Conference on Multimedia, 2023Yanqi Wu +3 more
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Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection
Computer Vision and Pattern RecognitionThe rapid advancement of face forgery techniques has introduced a growing variety of forgeries. Incremental Face Forgery Detection (IFFD), involving gradually adding new forgery data to fine-tune the previously trained model, has been introduced as a ...
Jikang Cheng +7 more
semanticscholar +1 more source