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ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

Authors :
Long, Shangbang
Qin, Siyang
Panteleev, Dmitry
Bissacco, Alessandro
Fujii, Yasuhisa
Raptis, Michalis
Publication Year :
2023

Abstract

We organize a competition on hierarchical text detection and recognition. The competition is aimed to promote research into deep learning models and systems that can jointly perform text detection and recognition and geometric layout analysis. We present details of the proposed competition organization, including tasks, datasets, evaluations, and schedule. During the competition period (from January 2nd 2023 to April 1st 2023), at least 50 submissions from more than 20 teams were made in the 2 proposed tasks. Considering the number of teams and submissions, we conclude that the HierText competition has been successfully held. In this report, we will also present the competition results and insights from them.<br />Comment: ICDAR 2023 competition report by organizers (accepted and to be published officially later)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2305.09750
Document Type :
Working Paper