| Full name | MesoNet: a Compact Facial Video Forgery Detection Network |
| Description | Based on the corresponding paper, trained the same way as the Xception network as outline in the FaceForensics++ paper. Trained on all images compressed with h264 with a crf of 40.
Face Tracking: dlib |
| Publication title | MesoNet: a Compact Facial Video Forgery Detection Network |
| Publication authors | Darius Afchar, Vincent Nozick, Junichi Yamagishi, Isao Echizen |
| Publication venue | WIFS 2018 |
| Publication URL | https://arxiv.org/abs/1809.00888 |
| Input Data Types | Uses Face Detection |
| Programming language(s) | Python, Keras |
| Hardware | GeForce 1080ti |
| Submission creation date | 13 Mar, 2019 |
| Last edited | 13 Mar, 2019 |