Facial Forgery-Based Deepfake Detection Using Fine-Grained Features
Author:
Affiliation:
1. School of Computing Wichita State University,Kansas,USA
2. Uni. of North Texas at Denton,Dept. of Computer Science and Engineering,Texas,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459339/10459727/10460032.pdf?arnumber=10460032
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1. Faceshifter: Towards high fidelity and occlusion aware face swapping;Li;ArXiv,2019
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4. Efficientnet: Rethinking model scaling for convo-lutional neural networks;Tan;ICML,2019
5. MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection
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