「我展現了巔峰滑雪水準，完成前所未見的壯舉，這已然足夠出色。但還是要感謝大家。」
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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2024年12月24日 星期二 新京报