Results 11 to 20 of about 4,729,114 (317)
Image Forgery Detection Techniques: Latest Trends and Key Challenges
IEEE AccessThe improvement and accessibility of high-resolution cameras have significantly increased image capturing by various media. Different editing tools are available that are frequently used to improve image quality, resulting in the alteration of images. So,
Poulomi Deb +3 more
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Method for Image Forgery Detection Based on Deformable Self-Correlation Network [PDF]
Jisuanji gongcheng, 2021 The deep learning-based copy-move forgery detection methods ignore the spatial layout of the features, leading to a reduction in the detection performance for small-region forgery samples.Additionally,the fixed size of the receptive fields in ...
LIANG Peng, WU Yuting, ZHAO Huimin, LI Chunying, HE Wa, LI Shaofa
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Survey on adversarial attacks and defense of face forgery and detection
网络与信息安全学报, 2023 Face forgery and detection has become a research hotspot.Face forgery methods can produce fake face images and videos.Some malicious videos, often targeting celebrities, are widely circulated on social networks, damaging the reputation of victims and ...
Shiyu HUANG, Feng YE, Tianqiang HUANG, Wei LI, Liqing HUANG, Haifeng LUO
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Method of Face Forgery Detection Based on Self-Attention Capsule Network [PDF]
Jisuanji gongcheng, 2022 In recent years, face forgery is abused in fake videos, imposing a potential threat on the national, social and individual level, so face forgery detection is of great significance to individual privacy protection and national security.To improve the ...
LI Ke, LI Shaomei, JI Lixin, LIU Shuo
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Generalizing Face Forgery Detection with High-frequency Features [PDF]
Computer Vision and Pattern Recognition, 2021 Current face forgery detection methods achieve high accuracy under the within-database scenario where training and testing forgeries are synthesized by the same algorithm. However, few of them gain satisfying performance under the cross-database scenario
Yucheng Luo +3 more
semanticscholar +1 more source
CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
IEEE AccessAuthenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying ...
Anjali Diwan, Anil K. Roy
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Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain [PDF]
Computer Vision and Pattern Recognition, 2021 The remarkable success in face forgery techniques has received considerable attention in computer vision due to security concerns. We observe that up-sampling is a necessary step of most face forgery techniques, and cumulative up-sampling will result in ...
Honggu Liu +7 more
semanticscholar +1 more source
Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture
IEEE Access, 2023 The authentication of digital images poses a significant challenge due to the wide range of image forgery techniques employed, with one notable example being a copy-move forgery.
Anjali Diwan +4 more
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Hierarchical Fine-Grained Image Forgery Detection and Localization [PDF]
Computer Vision and Pattern Recognition, 2023 Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and localization (IFDL) challenging.
Xiao-qiang Guo +5 more
semanticscholar +1 more source
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection [PDF]
Computer Vision and Pattern Recognition, 2022 One of the most pressing challenges for the detection of face-manipulated videos is generalising to forgery methods not seen during training while remaining effective under common corruptions such as compression.
A. Haliassos +3 more
semanticscholar +1 more source