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.
Google publicly documented its roadmap. This is what it says:，更多细节参见Line官方版本下载
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Another example: why do so many languages implicitly view the right hand as good (for instance, associating the direction right with the ethical concept of rightness) and the left hand as bad, maladroit, sinister?