Abstract: The rapid development and malicious use of deepfakes pose a significant crisis of trust. To cope with the evolving deepfake technologies, an increasing number of detection methods adopt the ...

Abstract: Traditional single-label learning assumes each instance belongs to only one category, which limits its ability to describe real-world objects with multiple semantics. Although multi-label ...