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.
第十六条 纳税人采用销售额和增值税税额合并定价方法的,按照下列公式计算销售额:
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The history of most human gestures is never written down, precisely because it is something we learn before literacy or memory and thus something we take entirely for granted.
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