Patch-DFD: Patch-based end-to-end DeepFake discriminator-Reference-Cited by-同舟云学术

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Patch-DFD: Patch-based end-to-end DeepFake discriminator

Published:2022-08 Issue: Volume:501 Page:583-595
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Yu Miaomiao,Ju Sigang,Zhang Jun,Li Shuohao^ORCID,Lei Jun,Li Xiaofei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference71 articles.

1. FaceForensics++: learning to detect manipulated facial images;Rössler,2019

2. Exposing Deepfake videos by tracking eye movements;Li,2021

3. Two-stream neural networks for tampered face detection;Zhou,2017

4. Multi-task learning for detecting and segmenting manipulated facial images and videos;Nguyen,2019

5. ZAO. Available: https://apps.apple.com/cn/app/id1465199127.

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