SAGNet: Decoupling Semantic-Agnostic Artifacts From Limited Training Data for Robust Generalization in Deepfake Detection
Year: 2025
Type: article
Institutions: Beijing Jiaotong University, ETH Zurich, ETH Zürich Foundation
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Award: G1629255802
OpenAlex ID: W4411484192
