B. Kumar

Explainable copy-move forgery detection in videos: Generative adversarial network-based transfer learning and multi-aspect transformer with shuffle attention.

This research presents an interpretable and robust deep learning architecture to identify object-based Copy-Move Forgery, that is, a combination of transfer learning with a new Multi-Aspect Fossa Graph Transformer enhanced with Shuffle Attention (MAFGTN-SA).