mlsanityData to 14 Oct 2026

Towards Accurate Scene Text Recognition with Semantic Reasoning Networks

arXiv 2003.12294 ↗First posted 27 Mar 2020cs.CVcited by 131

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Abstract (arXiv)

Scene text image contains two levels of contents: visual texture and semantic information. Although the previous scene text recognition methods have made great progress over the past few years, the research on mining semantic information to assist text recognition attracts less attention, only RNN-like structures are explored to implicitly model semantic information. However, we observe that RNN based methods have some obvious shortcomings, such as time-dependent decoding manner and one-way serial transmission of semantic context, which greatly limit the help of semantic information and the computation efficiency. To mitigate these limitations, we propose a novel end-to-end trainable framework named semantic reasoning network (SRN) for accurate scene text recognition, where a global semantic reasoning module (GSRM) is introduced to capture global semantic context through multi-way parallel transmission. The state-of-the-art results on 7 public benchmarks, including regular text, irregular text and non-Latin long text, verify the effectiveness and robustness of the proposed method. In addition, the speed of SRN has significant advantages over the RNN based methods, demonstrating its value in practical use.

Key facts. Cited by 131 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Mar 2020.

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Citing papers per year: 2021: 30; 2022: 31; 2023: 34; 2024: 23; 2025: 8; 2026: 5.

131 papers.

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  1. 2022GIT: A Generative Image-to-text Transformer for Vision and Languagecited by 537
  2. 2021TrOCR: Transformer-based Optical Character Recognition with Pre-trained Modelscited by 279
  3. 2023TextDiffuser: Diffusion Models as Text Painterscited by 229
  4. 2021Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognitioncited by 194
  5. 2022Scene Text Recognition with Permuted Autoregressive Sequence Modelscited by 149
  6. 2021From Two to One: A New Scene Text Recognizer with Visual Language Modeling Networkcited by 97
  7. 2021StrucTexT: Structured Text Understanding with Multi-Modal Transformerscited by 90
  8. 2022SVTR: Scene Text Recognition with a Single Visual Modelcited by 88
  9. 2021Vision Transformer for Fast and Efficient Scene Text Recognitioncited by 81
  10. 2022SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognitioncited by 70
  11. 2021What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labelscited by 63
  12. 2023Conditional Text Image Generation with Diffusion Modelscited by 58
38 more
  1. 2021Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Studycited by 53
  2. 2023Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizercited by 53
  3. 2021PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Networkcited by 49
  4. 2021Rethinking Text Line Recognition Modelscited by 45
  5. 2022Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognitioncited by 45
  6. 2022Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognitioncited by 45
  7. 2023Revisiting Scene Text Recognition: A Data Perspectivecited by 45
  8. 2021PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognitioncited by 41
  9. 2021MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understandingcited by 40
  10. 2022ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spottingcited by 40
  11. 2023DTrOCR: Decoder-only Transformer for Optical Character Recognitioncited by 40
  12. 2021CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognitioncited by 36
  13. 2022Multi-Granularity Prediction for Scene Text Recognitioncited by 36
  14. 2021Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Featurescited by 34
  15. 2022MaskOCR: Text Recognition with Masked Encoder-Decoder Pretrainingcited by 34
  16. 2023CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Modelcited by 30
  17. 2021Primitive Representation Learning for Scene Text Recognitioncited by 28
  18. 2021MetaHTR: Towards Writer-Adaptive Handwritten Text Recognitioncited by 27
  19. 2022Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spottingcited by 27
  20. 2022Self-supervised Character-to-Character Distillation for Text Recognitioncited by 27
  21. 2024FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understandingcited by 27
  22. 2021Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognitioncited by 25
  23. 2022Self-supervised Implicit Glyph Attention for Text Recognitioncited by 25
  24. 2021Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognitioncited by 24
  25. 2022Levenshtein OCRcited by 24
  26. 2024SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognitioncited by 24
  27. 2023Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognitioncited by 20
  28. 2023ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Imagescited by 20
  29. 2023Context Perception Parallel Decoder for Scene Text Recognitioncited by 19
  30. 2023Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognitioncited by 18
  31. 2021Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillationcited by 17
  32. 2024Instruction-Guided Scene Text Recognitioncited by 17
  33. 2022Multimodal Semi-Supervised Learning for Text Recognitioncited by 16
  34. 2023CLIPTER: Looking at the Bigger Picture in Scene Text Recognitioncited by 16
  35. 2022Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognitioncited by 14
  36. 2024KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embeddingcited by 14
  37. 2023LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognitioncited by 13
  38. 2025UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameterscited by 13

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