English(EN) Text region detection in historical astronomical diagrams

新数据集针对历史天文图中的文本检测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-16 04:00

研究人员推出了一款用于历史天文图文本检测的新数据集，填补了文档分析领域的空白。该数据集包含 948 幅 8 至 18 世纪的图表，拥有超过 10,000 个带精确多边形边界和阅读方向编码的标注文本区域。研究评估了几种基线模型，其中 Poly-DETR（DINO-DETR 的扩展）在现有基准测试中表现强劲，并可作为此新数据集的坚实基线。该数据集和代码均公开可用。 AI

排序理由该集群描述了一篇介绍数据集并评估特定计算机视觉任务基线模型的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一篇介绍数据集并评估特定计算机视觉任务基线模型的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 106 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Zeynep Sonat Baltac{\i}, Rapha\"el Baena, Fei Meng, Somk\'eo Norindr, Florence Somer, Matthieu Husson, Mathieu Aubry · 2026-06-16 04:00

历史天文图中的文本区域检测

arXiv:2606.15886v1 Announce Type: new Abstract: Text detection is a crucial task in the analysis of historical documents. While datasets and benchmarks exist for text detection in manuscripts and maps, the study of text in mathematical diagrams has received little attention. To a…

本文如何被排名

报道来源 [1]

历史天文图中的文本区域检测

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