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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.,这一点在Line官方版本下载中也有详细论述

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(二)按照其他纳税人最近时期销售同类货物、服务、无形资产或者不动产的平均价格确定;