mlsanityData to 13 Oct 2026

E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text

arXiv 1801.09919 ↗First posted 30 Jan 2018cs.CVcited by 21

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Abstract (arXiv)

An end-to-end trainable (fully differentiable) method for multi-language scene text localization and recognition is proposed. The approach is based on a single fully convolutional network (FCN) with shared layers for both tasks. E2E-MLT is the first published multi-language OCR for scene text. While trained in multi-language setup, E2E-MLT demonstrates competitive performance when compared to other methods trained for English scene text alone. The experiments show that obtaining accurate multi-language multi-script annotations is a challenging problem.

Key facts. Cited by 21 papers in the map (data through 13 Oct 2026). First posted on arXiv 30 Jan 2018.

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 3; 2022: 6; 2023: 6; 2024: 5; 2025: 0; 2026: 1.

21 papers.

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  1. 2023DocILE Benchmark for Document Information Localization and Extractioncited by 58
  2. 2022GLASS: Global to Local Attention for Scene-Text Spottingcited by 34
  3. 2021A Multiplexed Network for End-to-End, Multilingual OCRcited by 18
  4. 2024Layout Agnostic Scene Text Image Synthesis with Diffusion Modelscited by 14
  5. 2022Knowledge Mining with Scene Text for Fine-Grained Recognitioncited by 10
  6. 2023MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognitioncited by 7
  7. 2023DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spottingcited by 7
  8. 2022Transfer Learning for Scene Text Recognition in Indian Languagescited by 6
  9. 2021FEDS -- Filtered Edit Distance Surrogatecited by 5
  10. 2022OmniPrint: A Configurable Printed Character Synthesizercited by 5
  11. 2022Task Grouping for Multilingual Text Recognitioncited by 3
  12. 2023Improving Scene Text Recognition for Character-Level Long-Tailed Distributioncited by 3
9 more
  1. 2023Cross-Lingual Learning in Multilingual Scene Text Recognitioncited by 3
  2. 2024Decoder Pre-Training with only Text for Scene Text Recognitioncited by 3
  3. 2022Towards Boosting the Accuracy of Non-Latin Scene Text Recognitioncited by 1
  4. 2024IndicSTR12: A Dataset for Indic Scene Text Recognitioncited by 1
  5. 2026All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Expertscited by 1
  6. 2021On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identificationcited by 0
  7. 2023Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognitioncited by 0
  8. 2024MENTOR: Multilingual tExt detectioN TOward leaRning by analogycited by 0
  9. 2024Fine-Grained Scene Image Classification with Modality-Agnostic Adaptercited by 0