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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Москвичей предупредили о резком похолодании09:45
目前，美国注册游艇约为1167万艘，年新增约30万艘，其中80%为入门级产品，价格仅数万美元。欧洲则在高端超级游艇领域占据全球主导地位，形成“大众入门+中端休闲+顶级奢华”的分层市场结构。需求基础广泛，因此抗周期能力强。