mlsanityData to 14 Oct 2026

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

arXiv 1710.10400 ↗First posted 28 Oct 2017cs.CVcited by 162

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Abstract (arXiv)

Text in curve orientation, despite being one of the common text orientations in real world environment, has close to zero existence in well received scene text datasets such as ICDAR2013 and MSRA-TD500. The main motivation of Total-Text is to fill this gap and facilitate a new research direction for the scene text community. On top of the conventional horizontal and multi-oriented texts, it features curved-oriented text. Total-Text is highly diversified in orientations, more than half of its images have a combination of more than two orientations. Recently, a new breed of solutions that casted text detection as a segmentation problem has demonstrated their effectiveness against multi-oriented text. In order to evaluate its robustness against curved text, we fine-tuned DeconvNet and benchmark it on Total-Text. Total-Text with its annotation is available at https://github.com/cs-chan/Total-Text-Dataset

Key facts. Cited by 162 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Oct 2017.

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Citing papers per year: 2021: 28; 2022: 35; 2023: 33; 2024: 32; 2025: 21; 2026: 13.

162 papers.

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  1. 2023OCRBench: On the Hidden Mystery of OCR in Large Multimodal Modelscited by 476
  2. 2023LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Modelscited by 217
  3. 2024TextMonkey: An OCR-Free Large Multimodal Model for Understanding Documentcited by 174
  4. 2024OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoningcited by 173
  5. 2023ImageBind-LLM: Multi-modality Instruction Tuningcited by 142
  6. 2024Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Wantcited by 101
  7. 2022Towards End-to-End Unified Scene Text Detection and Layout Analysiscited by 97
  8. 2022Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusioncited by 94
  9. 2021Fourier Contour Embedding for Arbitrary-Shaped Text Detectioncited by 80
  10. 2023UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understandingcited by 74
  11. 2023SPTS v2: Single-Point Scene Text Spottingcited by 66
  12. 2021PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Textcited by 65
38 more
  1. 2022Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detectioncited by 65
  2. 2022Transformers in Remote Sensing: A Surveycited by 61
  3. 2023Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizercited by 53
  4. 2025Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videoscited by 51
  5. 2021PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Networkcited by 49
  6. 2021Open Images V5 Text Annotation and Yet Another Mask Text Spottercited by 46
  7. 2023Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluationcited by 46
  8. 2021Rethinking Text Line Recognition Modelscited by 45
  9. 2021SPTS: Single-Point Text Spottingcited by 45
  10. 2022Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognitioncited by 45
  11. 2023Revisiting Scene Text Recognition: A Data Perspectivecited by 45
  12. 2022Towards Weakly-Supervised Text Spotting using a Multi-Task Transformercited by 41
  13. 2024DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimmingcited by 35
  14. 2022GLASS: Global to Local Attention for Scene-Text Spottingcited by 34
  15. 2022Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learningcited by 33
  16. 2024Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentationcited by 30
  17. 2026LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decodingcited by 28
  18. 2022Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spottingcited by 27
  19. 2023Towards Unified Scene Text Spotting based on Sequence Generationcited by 27
  20. 2021TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representationcited by 26
  21. 2021A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformercited by 26
  22. 2025Advancing Sequential Numerical Prediction in Autoregressive Modelscited by 26
  23. 2021Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detectioncited by 23
  24. 2024From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalitiescited by 22
  25. 2025Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understandingcited by 20
  26. 2021A Multiplexed Network for End-to-End, Multilingual OCRcited by 18
  27. 2022Vision-Language Pre-Training for Boosting Scene Text Detectorscited by 18
  28. 2022Don't Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Contextcited by 18
  29. 2022Kernel Proposal Network for Arbitrary Shape Text Detectioncited by 17
  30. 2022Arbitrary Shape Text Detection via Segmentation with Probability Mapscited by 15
  31. 2021I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detectioncited by 14
  32. 2025A Token-level Text Image Foundation Model for Document Understandingcited by 14
  33. 2021CentripetalText: An Efficient Text Instance Representation for Scene Text Detectioncited by 13
  34. 2022TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Maskcited by 13
  35. 2023ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretrainingcited by 12
  36. 2023Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learningcited by 12
  37. 2022Text Growing on Leafcited by 11
  38. 2022Out-of-Vocabulary Challenge Reportcited by 11

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