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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,这一点在safew官方版本下载中也有详细论述
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南方周末:你曾提到自己非常喜欢拉杜·鲁普(Radu Lupu),他的舒伯特即兴曲是经典演绎。相比之下,你在这张专辑中的整体速度更慢,与许多著名版本相比也是如此。在诠释这套作品时,你是否有一个关于时间的总体概念?这种“慢”对你而言意味着什么?