Related papers: ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

URL: http://arxiv.org/abs/2305.09750v1
Date: Tue, 16 May 2023 18:56:12 GMT
Title: ICDAR 2023 Competition on Hierarchical Text Detection and Recognition
Authors: Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis
Abstract summary: The competition is aimed to promote research into deep learning models and systems that can jointly perform text detection and recognition. 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.
Score: 60.68100769639923
License: http://creativecommons.org/licenses/by/4.0/
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.

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