Shallow- and Deep- fake Image Manipulation Localization Using Deep Learning
Author:
Affiliation:
1. University of British Columbia,Department of Electrical and Computer Engineering,Vancouver,Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Compute Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10073968/10073976/10074246.pdf?arnumber=10074246
Reference24 articles.
1. A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes
2. Recurrent convolutional strategies for face manipulation detection in videos;sabir;CVPR,2019
3. FaceForensics++: Learning to Detect Manipulated Facial Images
4. Unified Perceptual Parsing for Scene Understanding
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3. A High-Fidelity Partial Face Manipulation Dataset for Enhanced Deepfake Detection;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19
4. ИСТОРИЯ И ТЕХНОЛОГИЯ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В КОНТЕКСТЕ МЕДИА И КОММУНИКАЦИЙ: ЦИФРОВАЯ ТРАНСФОРМАЦИЯ С CHATGPT И DEEPFAKE;Karadeniz Uluslararası Bilimsel Dergi;2023-06-27
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