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README.md
SED2_GT.zip

README.md

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:

Copyright (C) Jing Lou (楼竞)

Folders

  1. SED2 original evaluation database (http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/index.html)

  2. SED2_GT1 ground truth approved unanimously (recommendation)

  3. SED2_GT2 ground truth approved by more than half

Acknowledgment

  • I would like to thank Dr. Ming-Ming Cheng (http://mmcheng.net) for his helpful suggestions.

References

  1. 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.

  2. A. Borji, D. N. Sihite, and L. Itti, "Salient object detection: A benchmark," in Proc. Eur. Conf. Comput. Vis., 2012, pp. 414–429.