A Feature Fusion Based Deep Learning Model for Deepfake Video Detection-Reference-Cited by-同舟云学术

A Feature Fusion Based Deep Learning Model for Deepfake Video Detection

Published:2022 Issue: Volume: Page:197-206
ISSN:2367-3370
Container-title:Mathematics and its Applications in New Computer Systems
language:
Short-container-title:

Author:

Mohiuddin Sk^ORCID,Ganguly Shreyan^ORCID,Malakar Samir^ORCID,Kaplun Dmitrii^ORCID,Sarkar Ram^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-97020-8_18

Reference18 articles.

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2. Amerini I, Galteri L, Caldelli R, Del Bimbo A (2019) Deepfake video detection through optical flow based CNN. In: Proceedings of the IEEE/CVF international conference on computer vision workshops

3. Bayar B, Stamm MC (2016) A deep learning approach to universal image manipulation detection using a new convolutional layer. In: Proceedings of the 4th ACM workshop on information hiding and multimedia security, pp 5–10

4. Chollet F (2017) Xception: deep learning with depthwise separable convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1251–1258

5. Dey S, Roychoudhury R, Malakar S, Sarkar R (2021) Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model. Multimedia Tools Appl 1–19

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