找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Document Analysis and Recognition - ICDAR 2024; 18th International C Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng Conference proceedi

[复制链接]
查看: 9218|回复: 60
发表于 2025-3-21 16:29:37 | 显示全部楼层 |阅读模式
书目名称Document Analysis and Recognition - ICDAR 2024
副标题18th International C
编辑Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Document Analysis and Recognition - ICDAR 2024; 18th International C Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng Conference proceedi
描述.This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024..The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions..The papers reflect topics such as: 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 understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more... .
出版日期Conference proceedings 2024
关键词Document Analysis Systems; Handwriting Recognition; Scene Text Detection and Recognition; Document Imag
版次1
doihttps://doi.org/10.1007/978-3-031-70549-6
isbn_softcover978-3-031-70548-9
isbn_ebook978-3-031-70549-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Document Analysis and Recognition - ICDAR 2024影响因子(影响力)




书目名称Document Analysis and Recognition - ICDAR 2024影响因子(影响力)学科排名




书目名称Document Analysis and Recognition - ICDAR 2024网络公开度




书目名称Document Analysis and Recognition - ICDAR 2024网络公开度学科排名




书目名称Document Analysis and Recognition - ICDAR 2024被引频次




书目名称Document Analysis and Recognition - ICDAR 2024被引频次学科排名




书目名称Document Analysis and Recognition - ICDAR 2024年度引用




书目名称Document Analysis and Recognition - ICDAR 2024年度引用学科排名




书目名称Document Analysis and Recognition - ICDAR 2024读者反馈




书目名称Document Analysis and Recognition - ICDAR 2024读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:36:15 | 显示全部楼层
ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition difficult to model global information in .. Therefore, this paper introduces a novel approach, Implicit Character-Aided Learning (ICAL), to mine the global expression information and enhance handwritten mathematical expression recognition. Specifically, we propose the Implicit Character Constructio
发表于 2025-3-22 02:55:57 | 显示全部楼层
发表于 2025-3-22 08:13:50 | 显示全部楼层
A Real-Time Scene Uyghur Text Detection Network Based on Feature Complementatione task of detecting Uyghur in natural scene images is of great significance to the intelligent information technology industry and economic construction. In fact, current text detection applications in complex scenes have large models, and sluggish detection rates, and are challenging to implement o
发表于 2025-3-22 10:44:40 | 显示全部楼层
发表于 2025-3-22 16:17:44 | 显示全部楼层
MOoSE: Multi-Orientation Sharing Experts for Open-Set Scene Text Recognitionn field. However, the current open-set text recognition solutions only focuses on horizontal text, which fail to model the real-life challenges posed by the variety of writing directions in real-world scene text. Multi-orientation text recognition, in general, faces challenges from diverse image asp
发表于 2025-3-22 18:16:53 | 显示全部楼层
发表于 2025-3-22 23:13:58 | 显示全部楼层
More and Less: Enhancing Abundance and Refining Redundancy for Text-Prior-Guided Scene Text Image Suleverage text recognizer for prior information, achieving superior performance via a novel strategy. However, we observe abundant erroneous prior information from the low-resolution (LR) text images processed by the text recognizer, which can mislead text reconstruction when fused with image feature
发表于 2025-3-23 04:06:04 | 显示全部楼层
发表于 2025-3-23 05:42:36 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-4 07:57
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表