English(EN) The COTe score: A decomposable framework for evaluating Document Layout Analysis models

新的COTe分数提供了对文档布局分析模型的稳健评估

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员推出COTe分数，一个旨在更准确地评估文档布局分析（DLA）模型的新框架。与不适合印刷媒体二维特性的传统指标不同，COTe侧重于内容的语义结构。这一新指标以及结构语义单元（SSU）标注方法，旨在为DLA模型提供更稳健且可比较的性能测量。在三个数据集上的案例研究和评估表明，即使在处理预测和真实标签之间不同粒度的情况下，COTe也能比F1等标准指标提供更细致的模型故障洞察。 AI

影响这一新的评估指标可能带来更准确、更可靠的文档布局分析模型，改进数字文档的处理和理解方式。

排序理由该集群描述了一篇提出特定机器学习任务新评估框架的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Jonathan Bourne, Mwiza Simbeye, Ishtar Govia · 2026-10-02 04:00

COTe分数：用于评估文档布局分析模型的分解框架

arXiv:2603.12718v3 Announce Type: replace Abstract: Document Layout Analysis (DLA) is the process by which a page is parsed into meaningful elements, often using machine learning models. Typically, the quality of a model is judged using general machine vision metrics such as IoU,…

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COTe分数：用于评估文档布局分析模型的分解框架

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