Self-Supervised Transformer with Domain Adaptive Reconstruction for General Face Forgery Video Detection

no code implementations • 9 Sep 2023 • Daichi Zhang, Zihao Xiao, Jianmin Li, Shiming Ge

In this paper, a Self-supervised Transformer cooperating with Contrastive and Reconstruction learning (CoReST) is proposed, which is first pre-trained only on real face videos in a self-supervised manner, and then fine-tuned a linear head on specific face forgery video datasets.

Representation Learning

Deepfake Video Detection with Spatiotemporal Dropout Transformer

no code implementations • 14 Jul 2022 • Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge

Existing image-level approaches often focus on single frame and ignore the spatiotemporal cues hidden in deepfake videos, resulting in poor generalization and robustness.

Data Augmentation Face Swapping

Interpretable Face Manipulation Detection via Feature Whitening

no code implementations • 21 Jun 2021 • Yingying Hua, Daichi Zhang, Pengju Wang, Shiming Ge

The approach could make the face manipulation detection process transparent by embedding the feature whitening module.

Fairness