7 datasets found

A compact facial video forgery detection network for detecting manipulated faces in videos.

A novel large-scale dataset for face forgery detection in multi-person scenarios, comprising 10,000 high-quality forgery videos with an average of three human faces in each frame.

DeeperForensics-1.0 is a large-scale dataset for real-world face forgery detection, containing 60,000 videos and 17.6 million frames.

The paper proposes a unified face spoofing and forgery detection framework to solve the multi-dataset conflict problem, and the authors use five public autopilot datasets,...

The dataset contains real and fake face videos.

The paper proposes a unified face forgery detection framework to solve the multi-dataset conflict problem, and the authors use five public autopilot datasets, including...

Deepfakes have become a critical social problem, and detecting them is of utmost importance. The FaceForensics++ dataset offers fake video datasets. Most of the detection...