Results 91 to 100 of about 13,849 (178)
Rethinking VLMs for Image Forgery Detection and Localization
8pages
Shaofeng Guo, Jiequan Cui, Richang Hong
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In recent years, more and more data has been created in digital form, allowing for easier control over storage and manipulation thanks to technological advancements.
Muhamad Masjun Efendi, Nukman Nukman
doaj +1 more source
Medical Image Forgery Detection
Currently, the majority of businesses and organizations rely on internet services because of the improvements in technology and how simple they are to acquire and use. In the medical sector, digital photographs have also gained more significance than before.
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Image Forgery Analyse and Detection
Alhussain Akoum +2 more
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A hybrid model for image forgery detection using deep learning with block and keypoint methods. [PDF]
Mehrjardi FZ, Zarchi MS.
europepmc +1 more source
Hybrid framework for image forgery detection and robustness against adversarial attacks using vision transformer and SVM. [PDF]
Abdelmaksoud M +3 more
europepmc +1 more source
Digital image forgery detection using JPEG features and local noise discrepancies. [PDF]
Liu B, Pun CM, Yuan XC.
europepmc +1 more source
DeepForgeryNet: a hybrid CNN-LSTM and transfer learning framework for robust image forgery and deepfake detection. [PDF]
Sardhara A +3 more
europepmc +1 more source
Robust Detection and Localization of Image Copy-Move Forgery Using Multi-Feature Fusion. [PDF]
Lu K, Zhang Q.
europepmc +1 more source
Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]
Li Z, Tang W, Gao S, Wang Y, Wang S.
europepmc +1 more source

