Data to 7 Oct 2026

EAST: An Efficient and Accurate Scene Text Detector

arXiv 1704.03155 ↗First posted 11 Apr 2017cs.CVcited by 248

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Abstract (arXiv)

Previous approaches for scene text detection have already achieved promising performances across various benchmarks. However, they usually fall short when dealing with challenging scenarios, even when equipped with deep neural network models, because the overall performance is determined by the interplay of multiple stages and components in the pipelines. In this work, we propose a simple yet powerful pipeline that yields fast and accurate text detection in natural scenes. The pipeline directly predicts words or text lines of arbitrary orientations and quadrilateral shapes in full images, eliminating unnecessary intermediate steps (e.g., candidate aggregation and word partitioning), with a single neural network. The simplicity of our pipeline allows concentrating efforts on designing loss functions and neural network architecture. Experiments on standard datasets including ICDAR 2015, COCO-Text and MSRA-TD500 demonstrate that the proposed algorithm significantly outperforms state-of-the-art methods in terms of both accuracy and efficiency. On the ICDAR 2015 dataset, the proposed algorithm achieves an F-score of 0.7820 at 13.2fps at 720p resolution.

Key facts. Cited by 248 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2017.

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Citing papers per year: 2021: 64; 2022: 62; 2023: 48; 2024: 36; 2025: 27; 2026: 11.

248 papers.

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2021Oriented R-CNN for Object Detectioncited by 230
2023TextDiffuser: Diffusion Models as Text Painterscited by 223
2024General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Modelcited by 174
2021Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Losscited by 156
2023TextDiffuser-2: Unleashing the Power of Language Models for Text Renderingcited by 136
2022MMRotate: A Rotated Object Detection Benchmark using PyTorchcited by 115
2022Towards End-to-End Unified Scene Text Detection and Layout Analysiscited by 96
2022Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusioncited by 94
2024LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understandingcited by 94
2021StrucTexT: Structured Text Understanding with Multi-Modal Transformerscited by 90
2021ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spottingcited by 84
2021Fourier Contour Embedding for Arbitrary-Shaped Text Detectioncited by 80

38 more

2024OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognitioncited by 74
2022The KFIoU Loss for Rotated Object Detectioncited by 73
2022Text Spotting Transformerscited by 70
2023SPTS v2: Single-Point Scene Text Spottingcited by 66
2021PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Textcited by 65
2022Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detectioncited by 65
2022Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Featurescited by 55
2022DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformercited by 50
2021PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Networkcited by 49
2021Adaptive Boundary Proposal Network for Arbitrary Shape Text Detectioncited by 47
2021LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignmentcited by 46
2021SPTS: Single-Point Text Spottingcited by 45
2023Revisiting Scene Text Recognition: A Data Perspectivecited by 45
2023Vision Grid Transformer for Document Layout Analysiscited by 45
2023Turning a CLIP Model into a Scene Text Detectorcited by 44
2024Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extractioncited by 44
2022Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detectioncited by 43
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
2023GeoLayoutLM: Geometric Pre-training for Visual Information Extractioncited by 40
2022Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalizationcited by 36
2022H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detectioncited by 36
2022A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutioncited by 35
2022GLASS: Global to Local Attention for Scene-Text Spottingcited by 34
2021MOST: A Multi-Oriented Scene Text Detector with Localization Refinementcited by 33
2022Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learningcited by 33
2022Arbitrary Shape Text Detection via Boundary Transformercited by 28
2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detectioncited by 28
2021PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyondcited by 27
2022Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spottingcited by 27
2023Towards Unified Scene Text Spotting based on Sequence Generationcited by 27
2021TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representationcited by 26
2021A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformercited by 26
2021Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Drivingcited by 25
2021De-rendering Stylized Textscited by 24
2021Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detectioncited by 23
2024Visual Text Generation in the Wildcited by 22
2022End-to-End Video Text Spotting with Transformercited by 21

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