GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.
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В МОК высказались об отстранении израильских и американских спортсменов20:59
"NASA must standardize its approach, increase flight rate safely, and execute on the president’s national space policy," Isaacman said. "With credible competition from our greatest geopolitical adversary increasing by the day, we need to move faster, eliminate delays, and achieve our objectives."
기획예산처 장관 박홍근 지명…‘이화영 변호인’ 정일연, 권익위원장