mlsanityData to 7 Oct 2026

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

arXiv 1909.07145 ↗First posted 16 Sep 2019cs.CVcited by 147

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Cited by 26 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recognition, and iii) scene text spotting. A total of 78 submissions from 46 unique teams/individuals were received for this competition. The top performing score of each challenge is as follows: i) T1 - 82.65%, ii) T2.1 - 74.3%, iii) T2.2 - 85.32%, iv) T3.1 - 53.86%, and v) T3.2 - 54.91%. Apart from the results, this paper also details the ArT dataset, tasks description, evaluation metrics and participants methods. The dataset, the evaluation kit as well as the results are publicly available at https://rrc.cvc.uab.es/?ch=14

Key facts. Cited by 147 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Sep 2019.

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Citing papers per year: 2021: 14; 2022: 23; 2023: 34; 2024: 43; 2025: 26; 2026: 7.

147 papers.

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  5. 2021TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene textcited by 170
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  9. 2022Scene Text Recognition with Permuted Autoregressive Sequence Modelscited by 148
  10. 2024NVLM: Open Frontier-Class Multimodal LLMscited by 124
  11. 2022Towards End-to-End Unified Scene Text Detection and Layout Analysiscited by 96
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38 more
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  7. 2021What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labelscited by 63
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  9. 2021Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Studycited by 52
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  12. 2021PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Networkcited by 49
  13. 2021Open Images V5 Text Annotation and Yet Another Mask Text Spottercited by 46
  14. 2021SPTS: Single-Point Text Spottingcited by 45
  15. 2023Revisiting Scene Text Recognition: A Data Perspectivecited by 45
  16. 2023Turning a CLIP Model into a Scene Text Detectorcited by 44
  17. 2023Improving Diffusion Models for Scene Text Editing with Dual Encoderscited by 44
  18. 2023DiffUTE: Universal Text Editing Diffusion Modelcited by 44
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  20. 2022Towards Weakly-Supervised Text Spotting using a Multi-Task Transformercited by 41
  21. 2022ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spottingcited by 40
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  28. 2023CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Modelcited by 30
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  30. 2025InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialoguecited by 27
  31. 2021TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representationcited by 26
  32. 2024PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Modelscited by 25
  33. 2023Exploring Better Text Image Translation with Multimodal Codebookcited by 23
  34. 2024Revisiting Tampered Scene Text Detection in the Era of Generative AIcited by 21
  35. 2021Stroke-Based Scene Text Erasing Using Synthetic Data for Trainingcited by 20
  36. 2023Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognitioncited by 20
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