会议信息

ICDAR 2026: International Conference on Document Analysis and Recognition

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
嵌入截止倒计时徽章
ICDAR
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2026-02-27
通知日期:
2026-05-15
会议日期:
2026-08-30
会议地点:
Vienna, Austria
届数:
20
CCF: C   ICORE: A   QUALIS: A2   浏览: 142543   关注: 81   参加: 20

会伴指数 (CP-I)

69.6 / 100
全站第 334 名 / 共 5,650 个会议 · 前 6%

计算机视觉与模式识别 第 8 / 241

学术认可 (35%)
92
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
82
社区关注 (10%)
57
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE A, QUALIS A2 · 有据可查的届次：20 · 在会伴关注它的研究者：81 人 · 过去 24 个月打开过本页的研究者：6 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-05

征稿

ICDAR 2026 (International Conference on Document Analysis and Recognition) is a CCF C / ICORE A / QUALIS A2 conference held in Vienna, Austria on 2026-08-30. The paper submission deadline is 2026-02-27. Acceptance notifications are sent on 2026-05-15.

The International Conference on Document Analysis and Recognition (ICDAR) is the premier scientific venue in the field of document analysis and recognition. This conference brings together international experts from academia and industry to present their latest research results, share their experiences and to promote research and development in all aspects of recognition and analysis of documents, with a particular focus on document image analysis. The 20th edition of this flagship conference will be held as an in person event in Vienna, Austria, from August 30 to September 04, 2026. Topics of interest to the conference include, but are not limited to: Document image processing Physical and logical layout analysis Text and symbol recognition Handwriting recognition Document analysis systems Document classification Indexing and retrieval of documents Document synthesis Extracting document semantics NLP for document image analysis Office automation Graphics recognition Human document interaction Document Representation Modeling Private and secure document understanding Structured document generation Multimedia document analysis Mobile text recognition Pen-based document analysis Scene text detection and recognition Recognition of tables and formulas Historical document analysis Signature verification Document summarization and translation Document forensics and provenance Medical document analysis Document analysis for literature search Gold-standard benchmarks and datasets Foundation models for document understanding
由 Dou Sun 最后更新于

相关会议

相关期刊

评论 0

暂无评论。

请登录后发表评论