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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，更多细节参见搜狗输入法2026
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Израиль нанес удар по Ирану09:28
“胜非其难也，持之者其难也。”国际社会在赞誉中国为全球减贫事业作出积极贡献的同时，也曾有关切声音：这是一次性成就还是持久变革？