A new dataset of real JPEG quantization tables (DocQT) improves forgery localization robustness on benchmarks and operational documents when models explicitly condition on the quantization table.
2015 13th International Conference on Document Analysis and Recognition (
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DocQT: Improving Document Forgery Localization Robustness via Diverse JPEG Quantization Tables
A new dataset of real JPEG quantization tables (DocQT) improves forgery localization robustness on benchmarks and operational documents when models explicitly condition on the quantization table.