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Евросоюз (ЕС) не будет возвращать на родину и лишать статуса беженца украинских мужчин. Об этом на брифинге сообщил спикер Еврокомиссии Маркус Ламмерт, его цитирует в Telegram издание «Политика страны».
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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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The bottom of confusables.txt. These pairs score negative SSIM — less similar than random noise. confusables.txt maps them as confusable because they decompose to the same abstract character, not because they look alike.