We partnered with other industry leaders and academic experts in September 2019 to create the Deepfake Detection Challenge (DFDC) in order to accelerate development of new ways to …

The DFDC (Deepfake Detection Challenge) is a dataset for deepface detection consisting of more than 100,000 videos. The DFDC dataset consists of two versions: - Preview dataset. with 5k …

2020年6月12日 · By creating and sharing a unique new dataset of more than 100,000 videos, the DFDC has enabled experts from around the world to come together, benchmark their …

2020年6月12日 · To counter this emerging threat, we have constructed an extremely large face swap video dataset to enable the training of detection models, and organized the …

We trained 7 different 3D CNNs across 4 different architectures (I3D, 3D ResNet34, MC3 & R2+1D) and 2 different resolutions (224 x 224 & 112 x 112). The validation losses of the 3D …

2019年10月19日 · In this paper, we introduce a preview of the Deepfakes Detection Challenge (DFDC) dataset consisting of 5K videos featuring two facial modification algorithms. A data …

2019年12月11日 · We’re taking an important step forward today with the launch of the Deepfake Detection Challenge (DFDC), an open, collaborative initiative to accelerate development of …

2024年3月3日 · To counter this emerging threat, we have constructed an extremely large face swap video dataset to enable the training of detection models, and organized the …

Solution for the Deepfake Detection Challenge. Our solution consists of three EfficientNet-B7 models (we used the Noisy Student pre-trained weights). We did not use external data, except …

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