SED2 Ground Truth
SED2_GT generates the binary masks of the evaluation database SED2 for saliency evaluation.
If you use this code or data, please cite our paper:
Jing Lou, Mingwu Ren, Huan Wang, "Regional Principal Color Based Saliency Detection," PLoS ONE, vol. 9, no. 11, pp. e112475: 1-13, 2014. doi:10.1371/journal.pone.0112475
Project page: http://www.loujing.com/rpc-saliency/
This code and data are also available at my Baidu Cloud (百度网盘).
Copyright (C) Jing Lou (楼竞)
SED2original evaluation database (http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/index.html)
SED2_GT1ground truth approved unanimously (recommendation)
SED2_GT2ground truth approved by more than half
- I would like to thank Dr. Ming-Ming Cheng (http://mmcheng.net) for his helpful suggestions.
S. Alpert, M. Galum, R. Basri, and A. Brandt, "Image segmentation by probabilistic bottom-up aggregation and cue integration," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2007, pp. 1–8.
A. Borji, D. N. Sihite, and L. Itti, "Salient object detection: A benchmark," in Proc. Eur. Conf. Comput. Vis., 2012, pp. 414–429.