mlsanityData to 7 Oct 2026

Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks

arXiv 2208.06990 ↗First posted 15 Aug 2022cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

This paper presents our results and findings on the use of temporal images for deepfake detection. We modelled temporal relations that exist in the movement of 468 facial landmarks across frames of a given video as spatial relations by constructing an image (referred to as temporal image) using the pixel values at these facial landmarks. CNNs are capable of recognizing spatial relationships that exist between the pixels of a given image. 10 different ImageNet models were considered for the study.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 23 of its 39 references that are in the map. First posted on arXiv 15 Aug 2022.

Builds on

23 of 39 references.

References · 23

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  3. 2016Densely Connected Convolutional Networkscited by 6,691
  4. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  5. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
  6. 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,773
  7. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,827
  8. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,320
  9. 2016Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learningcited by 1,509
  10. 2019FaceForensics++: Learning to Detect Manipulated Facial Imagescited by 1,095
  11. 2019CNN-generated images are surprisingly easy to spot... for nowcited by 842
  12. 2020Face2Face: Real-time Face Capture and Reenactment of RGB Videoscited by 631
11 more
  1. 2019Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensicscited by 573
  2. 2018MesoNet: a Compact Facial Video Forgery Detection Networkcited by 409
  3. 2018Exposing DeepFake Videos By Detecting Face Warping Artifactscited by 318
  4. 2018Exposing Deep Fakes Using Inconsistent Head Posescited by 294
  5. 2018Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videoscited by 180
  6. 2018FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Facescited by 118
  7. 2020Evading Deepfake-Image Detectors with White- and Black-Box Attackscited by 80
  8. 2020Detecting Deep-Fake Videos from Appearance and Behaviorcited by 66
  9. 2020DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythmscited by 65
  10. 2020How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signalscited by 29
  11. 2015Humans Are Easily Fooled by Digital Imagescited by 8

Built on by

Not cited yet.