Awesome

Plot edge PR curves

This repository contains the code to plot edge PR curves of many existing edge detectors on BSDS500 and NYUD.

<img src="https://raw.githubusercontent.com/yun-liu/plot-edge-pr-curves/master/pr_bsds.png" width="400"><img src="https://raw.githubusercontent.com/yun-liu/plot-edge-pr-curves/master/pr_nyud.png" width="400">

Note: The first column of thresholds in *_bdry.txt and *_bdry_thr.txt has been removed.

If you are using the code/data provided here in a publication, please consider citing our papers which have been included in this benchmark:

@article{liu2019richer,
  title={Richer Convolutional Features for Edge Detection},
  author={Liu, Yun and Cheng, Ming-Ming and Hu, Xiaowei and Bian, Jia-Wang and Zhang, Le and Bai, Xiang and Tang, Jinhui},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={41},
  number={8},
  pages={1939--1946},
  year={2019},
  publisher={IEEE}
}

@inproceedings{cheng2016hfs,
  title={HFS: Hierarchical Feature Selection for Efficient Image Segmentation},
  author={Cheng, Ming-Ming and Liu, Yun and Hou, Qibin and Bian, Jiawang and Torr, Philip and Hu, Shi-Min and Tu, Zhuowen},
  booktitle={European Conference on Computer Vision},
  pages={867--882},
  year={2016},
  organization={Springer}
}

@conference{liu2018deep,
  title={DEL: Deep Embedding Learning for Efficient Image Segmentation},
  author={Yun Liu and Peng-Tao Jiang and Vahan Petrosyan and Shi-Jie Li and Jiawang Bian and Le Zhang and Ming-Ming Cheng},
  booktitle={International Joint Conference on Artificial Intelligence},
  pages={864--870},
  year={2018}
}

@article{liu2022semantic,
  title={Semantic Edge Detection with Diverse Deep Supervision},
  author={Liu, Yun and Cheng, Ming-Ming and Fan, Deng-Ping and Zhang, Le and Bian, Jia-Wang and Tao, Dacheng},
  journal={International Journal of Computer Vision},
  volume={130},
  number={1},
  pages={179--198},
  year={2022}
}

Citations

1. RCF

   @article{liu2019richer,
     title={Richer convolutional features for edge detection},
     author={Liu, Yun and Cheng, Ming-Ming and Hu, Xiaowei and Bian, Jia-Wang and Zhang, Le and Bai, Xiang and Tang, Jinhui},
     journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
     volume={41},
     number={8},
     pages={1939--1946},
     year={2019},
     publisher={IEEE}
   }
   

2. DDS

   @article{liu2021semantic,
     title={Semantic edge detection with diverse deep supervision},
     author={Liu, Yun and Cheng, Ming-Ming and Fan, Deng-Ping and Zhang, Le and Bian, JiaWang and Tao, Dacheng},
     journal={International Journal of Computer Vision},
     year={2021}
   }
   

3. COB

   @article{maninis2017convolutional,
     title={Convolutional oriented boundaries: From image segmentation to high-level tasks},
     author={Maninis, Kevis-Kokitsi and Pont-Tuset, Jordi and Arbel{\'a}ez, Pablo and Van Gool, Luc},
     journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
     volume={40},
     number={4},
     pages={819--833},
     year={2017},
     publisher={IEEE}
   }
   

4. HED

   @article{xie2017holistically,
     title={Holistically-Nested Edge Detection},
     author={Xie, Saining and Tu, Zhuowen},
     journal={International Journal of Computer Vision},
     volume={125},
     number={1-3},
     pages={3--18},
     year={2017},
     publisher={Kluwer Academic Publishers Norwell, MA, USA}
   }
   

5. DEL

   @conference{liu2018deep,
     title={{DEL}: Deep Embedding Learning for Efficient Image Segmentation},
     author={Yun Liu and Peng-Tao Jiang and Vahan Petrosyan and Shi-Jie Li and Jiawang Bian and Le Zhang and Ming-Ming Cheng},
     booktitle={International Joint Conference on Artificial Intelligence},
     pages={864--870},
     year={2018}
   }
   

6. HFS

   @inproceedings{cheng2016hfs,
     title={{HFS}: Hierarchical Feature Selection for Efficient Image Segmentation},
     author={Cheng, Ming-Ming and Liu, Yun and Hou, Qibin and Bian, Jiawang and Torr, Philip and Hu, Shi-Min and Tu, Zhuowen},
     booktitle={European Conference on Computer Vision},
     pages={867--882},
     year={2016},
     organization={Springer}
   }
   

7. HFL

   @inproceedings{bertasius2015high,
     title={High-for-low and low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision},
     author={Bertasius, Gedas and Shi, Jianbo and Torresani, Lorenzo},
     booktitle={IEEE International Conference on Computer Vision},
     pages={504--512},
     year={2015}
   }
   

8. DeepContour

   @inproceedings{shen2015deepcontour,
     title={Deep{C}ontour: A deep convolutional feature learned by positive-sharing loss for contour detection},
     author={Shen, Wei and Wang, Xinggang and Wang, Yan and Bai, Xiang and Zhang, Zhijiang},
     booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
     pages={3982--3991},
     year={2015}
   }
   

9. DeepEdge

   @inproceedings{bertasius2015deepedge,
     title={Deep{E}dge: A multi-scale bifurcated deep network for top-down contour detection},
     author={Bertasius, Gedas and Shi, Jianbo and Torresani, Lorenzo},
     booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
     pages={4380--4389},
     year={2015}
   }
   

10. MCG

    @article{pont2016multiscale,
      title={Multiscale combinatorial grouping for image segmentation and object proposal generation},
      author={Pont-Tuset, Jordi and Arbelaez, Pablo and Barron, Jonathan T and Marques, Ferran and Malik, Jitendra},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume={39},
      number={1},
      pages={128--140},
      year={2016},
      publisher={IEEE}
    }
    

11. OEF

    @inproceedings{hallman2015oriented,
      title={Oriented edge forests for boundary detection},
      author={Hallman, Sam and Fowlkes, Charless C},
      booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
      pages={1732--1740},
      year={2015}
    }
    

12. SE

    @inproceedings{dollar2013structured,
      title={Structured forests for fast edge detection},
      author={Doll{\'a}r, Piotr and Zitnick, C Lawrence},
      booktitle={IEEE International Conference on Computer Vision},
      pages={1841--1848},
      year={2013}
    }
    

13. gPb-UCM

    @article{arbelaez2011contour,
      title={Contour detection and hierarchical image segmentation},
      author={Arbelaez, Pablo and Maire, Michael and Fowlkes, Charless and Malik, Jitendra},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume={33},
      number={5},
      pages={898--916},
      year={2011},
      publisher={IEEE}
    }
    

14. ISCRA

    @inproceedings{ren2013image,
      title={Image segmentation by cascaded region agglomeration},
      author={Ren, Zhile and Shakhnarovich, Gregory},
      booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
      pages={2011--2018},
      year={2013}
    }
    

15. Pb

    @article{martin2004learning,
      title={Learning to detect natural image boundaries using local brightness, color, and texture cues},
      author={Martin, David R and Fowlkes, Charless C and Malik, Jitendra},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume={26},
      number={5},
      pages={530--549},
      year={2004},
      publisher={IEEE}
    }
    

16. BEL

    @inproceedings{dollar2006supervised,
      title={Supervised learning of edges and object boundaries},
      author={Dollar, Piotr and Tu, Zhuowen and Belongie, Serge},
      booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
      pages={1964--1971},
      year={2006},
      organization={IEEE}
    }
    

17. NCut

    @article{shi2000normalized,
      title={Normalized cuts and image segmentation},
      author={Shi, Jianbo and Malik, Jitendra},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume={22},
      number={8},
      pages={888--905},
      year={2000},
      publisher={IEEE}
    }
    

18. EGB

    @article{felzenszwalb2004efficient,
      title={Efficient graph-based image segmentation},
      author={Felzenszwalb, Pedro F and Huttenlocher, Daniel P},
      journal={International Journal of Computer Vision},
      volume={59},
      number={2},
      pages={167--181},
      year={2004},
      publisher={Springer}
    }
    

19. Canny

    @article{canny1986computational,
      title={A computational approach to edge detection},
      author={Canny, John},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      number={6},
      pages={679--698},
      year={1986},
      publisher={IEEE}
    }
    

20. MShift

    @article{comaniciu2002mean,
      title={Mean shift: A robust approach toward feature space analysis},
      author={Comaniciu, Dorin and Meer, Peter},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume={24},
      number={5},
      pages={603--619},
      year={2002},
      publisher={IEEE}
    }
    

21. Sobel

    @techreport{sobel1972camera,
      title={Camera models and machine perception},
      author={Sobel, Irwin},
      year={1972},
      institution={Computer Science Department, Technion}
    }
    

22. Roberts

    @phdthesis{roberts1963machine,
      title={Machine perception of three-dimensional solids},
      author={Roberts, Lawrence G},
      year={1963},
      school={Massachusetts Institute of Technology}
    }
    

23. SE+NG+

    @inproceedings{gupta2014learning,
      title={Learning rich features from RGB-D images for object detection and segmentation},
      author={Gupta, Saurabh and Girshick, Ross and Arbel{\'a}ez, Pablo and Malik, Jitendra},
      booktitle={European Conference on Computer Vision},
      pages={345--360},
      year={2014},
      organization={Springer}
    }
    

24. gPb+NG

    @inproceedings{gupta2013perceptual,
      title={Perceptual organization and recognition of indoor scenes from RGB-D images},
      author={Gupta, Saurabh and Arbelaez, Pablo and Malik, Jitendra},
      booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
      pages={564--571},
      year={2013}
    }