Saliency-Evaluation-Toolbox

This Toolbox contains near all evaluation metrics for salient object detection including:

• E-measure
• S-measure
• weighted F-measure
• F-measure
• MAE scores
• PR curves or bar metrics

You can easily use this Tool Box to evaluate SOD results.

Citation

@article{Saliency-Evaluation-Toolbox,   
    Author = {Wei Ji},
    Title = {Evaluation Toolbox for Salient Object Detection.},
    Journal = {https://github.com/jiwei0921/Saliency-Evaluation-Toolbox/},
    Year = {2019}
} 

Requirement

• MATLAB

Test E/S/weighted F/F-measure and MAE scores

1. Set the path of GT and sal_map in main.m
2. run main.m

Test PR curves

1 create .m file

1. put your test_images in ./0 PR/Dataset
2. set your_path and run ./0 PR/PR_sal2mat.m

2 prduce PR curves or PR bar

1. run ./0 PR/code_bar.m or code_or.m

Related Citations

@article{sal_eval_toolbox,
    Author = {Mengyang Feng},
    Title = {Evaluation Toolbox for Salient Object Detection.},
    Journal = {https://github.com/ArcherFMY/sal_eval_toolbox},
    Year = {2018}
}

@article{borji2015salient,
	title="Salient Object Detection: A Benchmark",
	author="Ali {Borji} and Ming-Ming {Cheng} and Huaizu {Jiang} and Jia {Li}",
	journal="IEEE Transactions on Image Processing",
	volume="24",
	number="12",
	pages="5706--5722",
	year="2015"
}

@inproceedings{fan2017structure,
	title="Structure-Measure: A New Way to Evaluate Foreground Maps",
	author="Deng-Ping {Fan} and Ming-Ming {Cheng} and Yun {Liu} and Tao {Li} and Ali {Borji}",
	booktitle="2017 IEEE International Conference on Computer Vision (ICCV)",
	pages="4558--4567",
	year="2017"
}

@inproceedings{fan2018enhanced,
	title="Enhanced-alignment Measure for Binary Foreground Map Evaluation",
	author="Deng-Ping {Fan} and Cheng {Gong} and Yang {Cao} and Bo {Ren} and Ming-Ming {Cheng} and Ali {Borji}",
	booktitle="IJCAI 2018: 27th International Joint Conference on Artificial Intelligence",
	pages="698--704",
	year="2018"
}