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ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

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arxiv 2305.09750 v1 pith:AF5EYNSH submitted 2023-05-16 cs.CV

Shangbang Long , Siyang Qin , Dmitry Panteleev , Alessandro Bissacco , Yasuhisa Fujii , Michalis Raptis This is my paper · ORCID
classification cs.CV
keywords competitiondetectionrecognitiontexthierarchicalproposedsubmissionstasks
verification ladder T0 review T1 audit T2 compute T3 formal
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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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  1. Vision as Unified Multimodal Generation

    cs.CV 2026-07 conditional novelty 7.0 of 10

    A single unified multimodal model matches leading task-specialized vision systems across detection, segmentation, dense geometry, and multi-view 3D by casting all outputs as native text or image generation.

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