ForensicFormer: Hierarchical Multi-Scale Reasoning for Cross-Domain Image Forgery Detection
Abstract
The proliferation of AI-generated imagery and sophisticated editing tools has rendered traditional forensic methods ineffective for cross-domain forgery detection. We present ForensicFormer, a hierarchical multi-scale framework that unifies low-level artifact detection, mid-level boundary analysis, and high-level semantic reasoning via cross-attention transformers. Unlike prior single-paradigm approaches, which achieve
Fields of Study & Subjects
Digital Media Forensic Detection
Advanced Steganography and Watermarking Techniques
Benford’s Law and Fraud Detection
Publication details
- Journal / source
- arXiv (Cornell University)
- Publication date
- 12 January 2026
- Document type
- Preprint