Result Details
Task: Video Face Forgery Detection
Analysis Date: 2025-06-18 07:49:09.346949
Information:
Resolution: 360 x 442 | Codec: h264 | File Size: 1045.99KB | Bitrate: 158 kbps | Duration: 40.47 seconds | FPS: 30.0 |
Resolution: 360 x 442 | Codec: h264 | File Size: 1045.99KB | Bitrate: 158 kbps | Duration: 40.47 seconds | FPS: 30.0 |
Analytic Name: FTCN
Description: Deep learning based method for Video Face Forgery Detection that uses two stages: a fully temporal convolution network (FTCN) focusing on temporal feature extraction by reducing spatial kernel size to 1, and a Temporal Transformer network for long-term coherence exploration.
Reference:
https://arxiv.org/abs/2108.06693
Code Link:
https://github.com/yinglinzheng/FTCN
🧪 Fake Probability: 86.43%
▲
86.43%
AI-generated Likelihood
Scope: Human face videos