Real-centric Consistency Learning for Deepfake Detection

no code implementations • 15 May 2022 • Ruiqi Zha, Zhichao Lian, Qianmu Li, Siqi Gu

Essentially, the target of deepfake detection problem is to represent natural faces and fake faces at the representation space discriminatively, and it reminds us whether we could optimize the feature extraction procedure at the representation space through constraining intra-class consistence and inter-class inconsistence to bring the intra-class representations close and push the inter-class representations apart?

DeepFake Detection Face Swapping +1