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对 IO 密集型应用（大多数 Web 后端），虚拟线程是巨大的福音，能显著提升吞吐量，降低响应时间，而且配置简单，几乎零成本。
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.