mlsanityData to 14 Oct 2026

Cross-Lingual Learning in Multilingual Scene Text Recognition

arXiv 2312.10806 ↗First posted 17 Dec 2023cs.CVcited by 3

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Abstract (arXiv)

In this paper, we investigate cross-lingual learning (CLL) for multilingual scene text recognition (STR). CLL transfers knowledge from one language to another. We aim to find the condition that exploits knowledge from high-resource languages for improving performance in low-resource languages. To do so, we first examine if two general insights about CLL discussed in previous works are applied to multilingual STR: (1) Joint learning with high- and low-resource languages may reduce performance on low-resource languages, and (2) CLL works best between typologically similar languages. Through extensive experiments, we show that two general insights may not be applied to multilingual STR. After that, we show that the crucial condition for CLL is the dataset size of high-resource languages regardless of the kind of high-resource languages. Our code, data, and models are available at https://github.com/ku21fan/CLL-STR.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 17 of its 23 references that are in the map. First posted on arXiv 17 Dec 2023.

Builds on

17 of 23 references.

References · 17

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  3. 2019How multilingual is Multilingual BERT?cited by 645
  4. 2015An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognitioncited by 520
  5. 2021Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognitioncited by 194
  6. 2019What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysiscited by 191
  7. 2022Scene Text Recognition with Permuted Autoregressive Sequence Modelscited by 149
  8. 2019ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)cited by 147
  9. 2019ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019cited by 139
  10. 2019ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboardcited by 128
  11. 2022SVTR: Scene Text Recognition with a Single Visual Modelcited by 88
  12. 2021What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labelscited by 63
5 more
  1. 2022Multi-Granularity Prediction for Scene Text Recognitioncited by 36
  2. 2018E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Textcited by 21
  3. 2022SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalizationcited by 21
  4. 2021TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizerscited by 11
  5. 2023MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognitioncited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Expertscited by 1
  2. 2026Language-Agnostic Visual Embeddings for Cross-Script Handwriting Retrievalcited by 0
  3. 2026What Can Low Resource Languages Learn From Each Other?cited by 0