mlsanityData to 14 Oct 2026

Arbitrary-Oriented Scene Text Detection via Rotation Proposals

arXiv 1703.01086 ↗First posted 3 Mar 2017cs.CVcited by 176

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Abstract (arXiv)

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks (RRPN), which are designed to generate inclined proposals with text orientation angle information. The angle information is then adapted for bounding box regression to make the proposals more accurately fit into the text region in terms of the orientation. The Rotation Region-of-Interest (RRoI) pooling layer is proposed to project arbitrary-oriented proposals to a feature map for a text region classifier. The whole framework is built upon a region-proposal-based architecture, which ensures the computational efficiency of the arbitrary-oriented text detection compared with previous text detection systems. We conduct experiments using the rotation-based framework on three real-world scene text detection datasets and demonstrate its superiority in terms of effectiveness and efficiency over previous approaches.

Key facts. Cited by 176 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Mar 2017.

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Citing papers per year: 2021: 57; 2022: 40; 2023: 33; 2024: 26; 2025: 11; 2026: 9.

176 papers.

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  1. 2021Oriented R-CNN for Object Detectioncited by 231
  2. 2023TextDiffuser: Diffusion Models as Text Painterscited by 229
  3. 2021Object Detection in Aerial Images: A Large-Scale Benchmark and Challengescited by 204
  4. 2021ReDet: A Rotation-equivariant Detector for Aerial Object Detectioncited by 203
  5. 2021TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviorscited by 193
  6. 2021Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Losscited by 156
  7. 2023TextDiffuser-2: Unleashing the Power of Language Models for Text Renderingcited by 140
  8. 2021Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergencecited by 130
  9. 2022MMRotate: A Rotated Object Detection Benchmark using PyTorchcited by 115
  10. 2021Anchor-free Oriented Proposal Generator for Object Detectioncited by 105
  11. 2022An Empirical Study of Remote Sensing Pretrainingcited by 105
  12. 2021Oriented RepPoints for Aerial Object Detectioncited by 102
38 more
  1. 2021LookOut: Diverse Multi-Future Prediction and Planning for Self-Drivingcited by 96
  2. 2022Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusioncited by 94
  3. 2022The KFIoU Loss for Rotated Object Detectioncited by 73
  4. 2021PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Textcited by 65
  5. 2022Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detectioncited by 65
  6. 2023C2Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detectioncited by 58
  7. 2026Ultralytics YOLO26: Unified Real-Time End-to-End Vision Modelscited by 57
  8. 2022AO2-DETR: Arbitrary-Oriented Object Detection Transformercited by 55
  9. 2022Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detectioncited by 50
  10. 2021Adaptive Boundary Proposal Network for Arbitrary Shape Text Detectioncited by 47
  11. 2022Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detectioncited by 43
  12. 2023Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detectioncited by 43
  13. 2022Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalizationcited by 36
  14. 2022H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detectioncited by 36
  15. 2022A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutioncited by 35
  16. 2022GLASS: Global to Local Attention for Scene-Text Spottingcited by 34
  17. 2021Deep Learning for UAV-based Object Detection and Tracking: A Surveycited by 33
  18. 2023ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detectioncited by 32
  19. 2021CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Imagescited by 29
  20. 2023ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformercited by 29
  21. 2022Arbitrary Shape Text Detection via Boundary Transformercited by 28
  22. 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detectioncited by 28
  23. 2021Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Losscited by 27
  24. 2021PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyondcited by 27
  25. 2024LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Networkcited by 27
  26. 2021Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detectioncited by 23
  27. 2022End-to-End Video Text Spotting with Transformercited by 22
  28. 2023Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervisioncited by 21
  29. 2021Stroke-Based Scene Text Erasing Using Synthetic Data for Trainingcited by 20
  30. 2021Oriented Object Detection with Transformercited by 20
  31. 2022G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detectioncited by 20
  32. 2024DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensingcited by 20
  33. 2022Localization Distillation for Object Detectioncited by 19
  34. 2021A Multiplexed Network for End-to-End, Multilingual OCRcited by 18
  35. 2021Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for Object Detectioncited by 18
  36. 2022Kernel Proposal Network for Arbitrary Shape Text Detectioncited by 17
  37. 2023A Benchmark for Chinese-English Scene Text Image Super-resolutioncited by 17
  38. 2021RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detectioncited by 16

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