Multimodal Forgery Detection
1 papers with code • 1 benchmarks • 1 datasets
Multimodal Forgery Detection task is a deep forgery detection method which uses both video and audio.
Benchmarks
These leaderboards are used to track progress in Multimodal Forgery Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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FakeAVCeleb
Most implemented papers
Multimodal Forgery Detection Using Ensemble Learning
ammarahhashmi/Multimodal-Forgery-Detection-Using-Ensemble-Learning
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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2022
The recent rapid revolution in Artificial Intelligence (AI) technology has enabled the creation of hyper-realistic deepfakes, and detecting deepfake videos (also known as AIsynthesized videos) has become a critical task.
