Fsbi: Deepfake detection with frequency enhanced self-blended images
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CNN-based methods have a significant limitation: lack of temporal consistency and inability to process video in real time.
“A significant limitation of these CNN-based methods is their lack of temporal consistency and inability to process video in real time.”
From Beyond Accuracy: A Deployment-Oriented Benchmark of Deepfake Detection Models (2025) · cites this paper as [7]
Numerous cutting-edge deepfake detection techniques use multistage designs, including ensemble classifiers or sequential frame analysis, which cause computing bottlenecks during inference.
“Numerous cutting-edge techniques use multistage designs, including ensemble classifiers or sequential frame analysis, which cause computing bottlenecks during inference [7].”
From Beyond Accuracy: A Deployment-Oriented Benchmark of Deepfake Detection Models (2025) · cites this paper as [7]
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Parate, R. A., & Jain, K. (2026) · International Conference on Information, Implementation, and Innovation in Technology (I2ITCON) · doi:10.1109/i2itcon69735.2026.11747911
- Authors
- Abul Hasanaath, A., Luqman, H., Katib, R., & Anwar, S.
- Affiliations
- King Fahd University of Petroleum and Minerals (SA)
- Corresponding author
- Luqman, Hamzah
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2025-02
- Volume
- 154
- Pages
- 105418
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W4406739280
- Cited by
- 34
- References
- 60
- Citations by year
- 2026: 22 · 2025: 12
- FWCI
- 11.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Image and Vision Computing (publishedVersion)
- Funders
- King Fahd University of Petroleum & Minerals
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Keywords
- deepfake detection, discrete wavelet transform, convolutional neural networks, cross-dataset generalization, image editing
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