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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3. 在线学习的常态化与身份化: 约42%的硕士研究生通过全在线模式学习,这一比例在2030年有望突破55% [43]。这不仅解决了职场人士的时间碎片化问题,更大幅降低了异地学习的住房与生活隐形成本。。关于这个话题,搜狗输入法2026提供了深入分析
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