Jan 9, 2020 · The first version of this benchmark, DeeperForensics-1.0, represents the largest face forgery detection dataset by far, with 60,000 videos ...

The first version of this benchmark, DeeperForensics-1.0, represents the largest face forgery detection dataset by far, with 60,000 videos constituted by a ...

DeeperForensics-1.0 is an order of magnitude larger in scale than existing datasets w.r.t. both real and fake parts. We build a professional indoor environment ...

The first version of this benchmark, DeeperForensics-1.0, represents the largest face forgery detection dataset by far, with 60,000 videos constituted by a ...

DeeperForensics-1.0 represents the largest face forgery detection dataset by far, with 60,000 videos constituted by a total of 17.6 million frames, ...

DeeperForensics-1.0 is an order of magnitude larger in scale than existing datasets w.r.t. both real and fake parts. We build a professional indoor environment ...

DeeperForensics-1.0 is an order of magnitude larger in scale than existing datasets w.r.t. both real and fake parts. We build a professional indoor environment ...

DeeperForensics-1.0 represents the largest face forgery detection dataset by far, with 60, 000 videos constituted by a total of 17.6 million frames.

We elaborate on five baselines used in our face forgery detection benchmark in this section. Our benchmark con- tains four video-level face forgery detection ...

DeeperForensics-1.0, a new dataset for real-world face forgery detection, features three appealing properties: good quality, large scale, and high diversity.