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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Nature, Published online: 26 February 2026; doi:10.1038/d41586-026-00542-8，详情可参考Line官方版本下载
（二）移动、损毁国家边境的界碑、界桩以及其他边境标志、边境设施或者领土、领海基点标志设施的；
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