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.
总结回望2025年的育儿时光，只能说感慨万千。都说「不养儿，不知父母恩」，其实自己生了孩子到现在才觉得，「养」比「生」难的多。
。搜狗输入法2026对此有专业解读
In one forum, Youth Against Corruption, members planned the protest outside parliament on 8 September.。关于这个话题，91视频提供了深入分析
还有日式风格明显的电影票根纪念。