52. 鼓励学生深造日本拟设大学本硕“五年一贯制” - 新华网, www.news.cn/world/20251…
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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.
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to return memory. When we have memory usage like this, we can do better
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