DiffNet achieves state-of-the-art cross-domain performance on human-made document tampering localization by combining RGB-DCT early fusion with multi-level discrepancy transformations and a frequency-index-aware DCT-quantization embedding, outperforming priors by ~30% at up to 7x throughput.
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Efficient Document Tampering Localization with Multi-Level Discrepancy Features and Unified DCT-Quantization Embedding
DiffNet achieves state-of-the-art cross-domain performance on human-made document tampering localization by combining RGB-DCT early fusion with multi-level discrepancy transformations and a frequency-index-aware DCT-quantization embedding, outperforming priors by ~30% at up to 7x throughput.