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Code for "Regularized RandomWalk Ranking for Co-Saliency Detection in images" published in ICVGIP, 2018

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SayantiBardhan/CR2WR

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CR2WR

This code is used for co-saliency detection in images. Here, we have set the folders for a benchmark co-saliency datasets: iCoSeg. However, any cosaliency datasets can be tested on the cod.

Usage:

  1. In ./first_step_sal_output/, we store single image saliency detection maps generated by any state-of-the-art saliency detection method as an input for further processing. Here, we use saliency maps generated by: H. Peng, B. Li, R. Ji, W. Hu, W. Xiong, C. Lang (2017) "Salient object detection via low-rank and structured sparse matrix decomposition", IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), pp. 818 – 832.

  2. In ./images_iCoseg/, we store input co-saliency images.

  3. In ./result_iCoseg/, we store output co-saliency maps.

  4. For Testing: To test run: icoseg_rw.m

Dependencies:

  1. MATLAB 2016

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Code for "Regularized RandomWalk Ranking for Co-Saliency Detection in images" published in ICVGIP, 2018

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