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.
Now scientists who track the animals using satellite pictures can no longer find most of the birds. They fear that thousands of penguins may have frozen in Antarctica's icy waters.
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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36