Data to 7 Oct 2026

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

arXiv 1811.00751 ↗First posted 2 Nov 2018cs.CVcited by 130

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Abstract (arXiv)

Recognizing irregular text in natural scene images is challenging due to the large variance in text appearance, such as curvature, orientation and distortion. Most existing approaches rely heavily on sophisticated model designs and/or extra fine-grained annotations, which, to some extent, increase the difficulty in algorithm implementation and data collection. In this work, we propose an easy-to-implement strong baseline for irregular scene text recognition, using off-the-shelf neural network components and only word-level annotations. It is composed of a 31-layer ResNet, an LSTM-based encoder-decoder framework and a 2-dimensional attention module. Despite its simplicity, the proposed method is robust and achieves state-of-the-art performance on both regular and irregular scene text recognition benchmarks. Code is available at: https://tinyurl.com/ShowAttendRead

Key facts. Cited by 130 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Nov 2018.

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Citing papers per year: 2021: 33; 2022: 33; 2023: 22; 2024: 22; 2025: 13; 2026: 7.

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2021Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognitioncited by 194
2021From Two to One: A New Scene Text Recognizer with Visual Language Modeling Networkcited by 97
2023HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Modelscited by 94
2022SVTR: Scene Text Recognition with a Single Visual Modelcited by 86
2021ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spottingcited by 84
2021Vision Transformer for Fast and Efficient Scene Text Recognitioncited by 81
2021PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Textcited by 65
2021What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labelscited by 63
2023Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizercited by 53
2021Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Studycited by 52
2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 50
2021Rethinking Text Line Recognition Modelscited by 45

38 more

2022Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognitioncited by 45
2023Revisiting Scene Text Recognition: A Data Perspectivecited by 45
2021PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognitioncited by 41
2021MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understandingcited by 40
2022ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spottingcited by 40
2023DTrOCR: Decoder-only Transformer for Optical Character Recognitioncited by 40
2021CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognitioncited by 36
2022MaskOCR: Text Recognition with Masked Encoder-Decoder Pretrainingcited by 34
2022GLASS: Global to Local Attention for Scene-Text Spottingcited by 34
2024SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimapcited by 34
2022Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learningcited by 33
2021Primitive Representation Learning for Scene Text Recognitioncited by 28
2021MetaHTR: Towards Writer-Adaptive Handwritten Text Recognitioncited by 27
2022Self-supervised Character-to-Character Distillation for Text Recognitioncited by 27
2021Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognitioncited by 25
2022Self-supervised Implicit Glyph Attention for Text Recognitioncited by 25
2021Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognitioncited by 24
2023Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligningcited by 24
2024SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognitioncited by 23
2022SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalizationcited by 21
2023Context Perception Parallel Decoder for Scene Text Recognitioncited by 19
2021Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillationcited by 17
2024Instruction-Guided Scene Text Recognitioncited by 17
2022Multimodal Semi-Supervised Learning for Text Recognitioncited by 16
2021Artificial Intelligence for Satellite Communication: A Reviewcited by 14
2022Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognitioncited by 14
2021PERT: A Progressively Region-based Network for Scene Text Removalcited by 13
2023LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognitioncited by 13
2021Towards the Unseen: Iterative Text Recognition by Distilling from Errorscited by 12
2022Towards Open-Set Text Recognition via Label-to-Prototype Learningcited by 12
2022COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Textscited by 12
2023IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognitioncited by 12
2025UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameterscited by 12
2021TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizerscited by 11
2024Out of Length Text Recognition with Sub-String Matchingcited by 11
2022SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognitioncited by 10
2024Class-Aware Mask-Guided Feature Refinement for Scene Text Recognitioncited by 10
2022Pure Transformer with Integrated Experts for Scene Text Recognitioncited by 9

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