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.
Role, BBC中文特約記者,
。关于这个话题，搜狗输入法2026提供了深入分析
Metacritic will kick out media attempting to submit AI generated reviews
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黎智英欺詐案上訴得直：定罪及刑罰被撤銷，出獄時間提前