Skip to content

MATLAB code for "Size and Location Matter: a New Baseline for Salient Object Detection" (ACCV 2014).

Notifications You must be signed in to change notification settings

garyzhao/SaliencyBaseline

Repository files navigation

Saliency Baseline

This MATLAB code is for the ACCV 2014 Paper "Size and Location Matter: a New Baseline for Salient Object Detection", and can only be used for non-comercial purpose. If you use our code, please cite our paper [1].

How to Use

Run demo.m to learn how to use Saliency Baseline [1], as well as Saliency Optimization [2], Saliency Filter [3], Geodesic Saliency [4], and Manifold Ranking [5].

Reference Paper

[1] Long Zhao, Shuang Liang, Yichen Wei, and Jinyuan Jia. "Size and Location Matter: a New Baseline for Salient Object Detection". In: Asian Conference on Computer Vision (ACCV), 2014.

[2] W. Zhu, S. Liang, Y. Wei, and J. Sun. "Saliency Optimization from Robust Background Detection". In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

[3] F. Perazzi, P. Krahenbuhl, Y. Pritch, and A. Hornung. "Saliency filters: Contrast based filtering for salient region detection". In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

[4] Y. Wei, F. Wen, W. Zhu, and J. Sun. "Geodesic saliency using background priors". In: European Conference on Computer Vision (ECCV), 2012.

[5] C. Yang, L. Zhang, H. Lu, X. Ruan, and M.-H. Yang. "Saliency detection via graph-based manifold ranking". In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

About

MATLAB code for "Size and Location Matter: a New Baseline for Salient Object Detection" (ACCV 2014).

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published