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.
《新会柑、新会陈皮地理标志专用标志使用管理保护办法》明确要求：
。业内人士推荐同城约会作为进阶阅读
An almost kilometre thick layer of clay or cap rock will lock away the CO2, just as it trapped oil and gas for millions of years, Schovsbo explains.
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The ends, she explains, were covered in green enamel.