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.
努力重要,运气也重要。刚刚过去的这一轮光储周期,最直接的诱因要拜俄乌冲突所赐——始自2022年的欧洲能源危机、天然气危机让海外光伏、储能市场大爆发,一大批光储企业像固德威、首航、艾罗等抓住机遇迅速做大做强并成功上市。
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Credit: Peacock
Same column, same operator, different plans. The planner uses a bitmap index scan for pending (1.5% rare enough to justify the index) and a sequential scan for delivered (95% being most of the table). The selectivity ratios from the MCV list drive the plan choice.