mlsanityData to 14 Oct 2026

AlphaRotate: A Rotation Detection Benchmark using TensorFlow

arXiv 2111.06677 ↗First posted 12 Nov 2021cs.CVcited by 7

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Abstract (arXiv)

AlphaRotate is an open-source Tensorflow benchmark for performing scalable rotation detection on various datasets. It currently provides more than 18 popular rotation detection models under a single, well-documented API designed for use by both practitioners and researchers. AlphaRotate regards high performance, robustness, sustainability and scalability as the core concept of design, and all models are covered by unit testing, continuous integration, code coverage, maintainability checks, and visual monitoring and analysis. AlphaRotate can be installed from PyPI and is released under the Apache-2.0 License. Source code is available at https://github.com/yangxue0827/RotationDetection.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 24 of its 31 references that are in the map. First posted on arXiv 12 Nov 2021.

Builds on

24 of 31 references.

References · 24

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  3. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  4. 2015Fast R-CNNcited by 2,933
  5. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,577
  6. 2019MMDetection: Open MMLab Detection Toolbox and Benchmarkcited by 1,385
  7. 2017DOTA: A Large-scale Dataset for Object Detection in Aerial Imagescited by 623
  8. 2016R-FCN: Object Detection via Region-based Fully Convolutional Networkscited by 414
  9. 2017EAST: An Efficient and Accurate Scene Text Detectorcited by 248
  10. 2019R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Objectcited by 194
  11. 2017Arbitrary-Oriented Scene Text Detection via Rotation Proposalscited by 176
  12. 2021Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Losscited by 156
12 more
  1. 2021Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergencecited by 130
  2. 2018FOTS: Fast Oriented Text Spotting with a Unified Networkcited by 109
  3. 2018Rotation-Sensitive Regression for Oriented Scene Text Detectioncited by 88
  4. 2020Dense Label Encoding for Boundary Discontinuity Free Rotation Detectioncited by 79
  5. 2019Learning Modulated Loss for Rotated Object Detectioncited by 73
  6. 2020Dynamic Refinement Network for Oriented and Densely Packed Object Detectioncited by 72
  7. 2020PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environmentscited by 56
  8. 2018Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networkscited by 54
  9. 2017R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detectioncited by 51
  10. 2018Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networkscited by 15
  11. 2018Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Networkcited by 13
  12. 2019SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognitioncited by 3

Built on by

Cited by year

Citing papers per year: 2022: 4; 2023: 1; 2024: 2.

7 papers.

  1. 2022MMRotate: A Rotated Object Detection Benchmark using PyTorchcited by 115
  2. 2022The KFIoU Loss for Rotated Object Detectioncited by 73
  3. 2022Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalizationcited by 36
  4. 2024Theoretically Achieving Continuous Representation of Oriented Bounding Boxescited by 9
  5. 2022Unitail: Detecting, Reading, and Matching in Retail Scenecited by 2
  6. 2023Edge Wasserstein Distance Loss for Oriented Object Detectioncited by 0
  7. 2024Improving the Detection of Small Oriented Objects in Aerial Imagescited by 0