AI RESEARCH
DocQT: Improving Document Forgery Localization Robustness via Diverse JPEG Quantization Tables
arXiv CS.CV
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ArXi:2605.19688v1 Announce Type: new Document manipulation localization models achieve strong performance on public benchmarks yet fail to generalize to operational document workflows. We identify a critical and overlooked source of this gap: the mismatch between the narrow distribution of JPEG quantization tables used during