This repository contains the code to plot edge PR curves of many existing edge detectors.
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edge_eval_bsds
edge_eval_nyud
README.md
edgesEvalPlot.m
plot_bsds.m
plot_nyud.m

README.md

Plot edge PR curves

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

If you are using the code/data provided here in a publication, please consider citing our paper:

@inproceedings{liu2017richer,
  title={Richer Convolutional Features for Edge Detection},
  author={Liu, Yun and Cheng, Ming-Ming and Hu, Xiaowei and Wang, Kai and Bai, Xiang},
  journal={Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)},
  pages={5872--5881},
  year={2017},
  organization={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 (IJCAI)},
  year={2018}
}

Note

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

Citations

[1] RCF

@inproceedings{liu2017richer,
  title={Richer Convolutional Features for Edge Detection},
  author={Liu, Yun and Cheng, Ming-Ming and Hu, Xiaowei and Wang, Kai and Bai, Xiang},
  journal={Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)},
  pages={5872--5881},
  year={2017},
  organization={IEEE}
}

[2] COB

@inproceedings{maninis2016convolutional,
  title={Convolutional oriented boundaries},
  author={Maninis, Kevis-Kokitsi and Pont-Tuset, Jordi and Arbel{\'a}ez, Pablo and Van Gool, Luc},
  booktitle={European Conference on Computer Vision},
  pages={580--596},
  year={2016},
  organization={Springer}
}

[3] HED

@inproceedings{xie2015holistically,
  title={Holistically-nested edge detection},
  author={Xie, Saining and Tu, Zhuowen},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={1395--1403},
  year={2015}
}

[4] 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={Proceedings of the IEEE International Conference on Computer Vision},
  pages={504--512},
  year={2015}
}

[5] DeepContour

@inproceedings{shen2015deepcontour,
  title={Deepcontour: 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={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={3982--3991},
  year={2015}
}

[6] DeepEdge

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

[7] OEF

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

[8] MCG

@inproceedings{arbelaez2014multiscale,
  title={Multiscale combinatorial grouping},
  author={Arbel{\'a}ez, Pablo and Pont-Tuset, Jordi and Barron, Jonathan T and Marques, Ferran and Malik, Jitendra},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={328--335},
  year={2014}
}

[9] SE

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

[10] 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}
}

[11] ISCRA

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

[12] 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}
}

[13] BEL

@inproceedings{dollar2006supervised,
  title={Supervised learning of edges and object boundaries},
  author={Dollar, Piotr and Tu, Zhuowen and Belongie, Serge},
  booktitle={Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on},
  volume={2},
  pages={1964--1971},
  year={2006},
  organization={IEEE}
}

[14] 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}
}

[15] 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}
}

[16] 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}
}

[17] 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}
}

[18] Sobel

@techreport{sobel1970camera,
  title={Camera models and machine perception},
  author={Sobel, Irwin},
  year={1970},
  institution={Stanford Univ Calif Dept of Computer Science}
}

[19] Roberts

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

[20] 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}
}

[21] 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={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={564--571},
  year={2013}
}