ICDAR 2026 竞赛：ALD/E 科学图表信息提取基准发布

AI 摘要

ICDAR 2026 举办了一项关于原子层沉积/蚀刻（ALD/E）科学图表信息提取的竞赛，并发布了 Sci-ImageMiner 基准数据集。该竞赛吸引了 68 名参与者和 1263 次提交，结果显示多模态模型在分类和摘要任务上表现良好，但在数据提取和科学推理方面存在不足。该基准和竞赛为科学图表理解提供了评估平台。

正文节选

ICDAR 2026 Competition on Information Extraction from Atomic Layer Deposition/Etching (ALD/E) Scientific Figures Abstract Scientific figure comprehension and reasoning using multimodal AI requires integrating visual perception with domain-specific reasoning to extract meaningful knowledge, often not presented in the text of a research publication. The Sci-ImageMiner benchmark dataset, accompanied by a community-driven competition, raises the bar over prior scientific competitions by curating a c

发布时间：—

抓取时间：2026-08-04 23:51

来源机构：Hugging Face