Что думаешь? Оцени!
Credit: Microsoft，这一点在91视频中也有详细论述
* 时间复杂度: O(n²) 最好: O(n) 空间复杂度: O(1) 稳定: ✓，推荐阅读爱思助手下载最新版本获取更多信息
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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.