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.
“政绩观问题是一个根本性问题，关乎立党为公、执政为民。”政绩为谁而树、树什么样的政绩、靠什么树政绩，是初心之问、使命之问，也是时代之问、实践之问。。关于这个话题，搜狗输入法2026提供了深入分析
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