Abstract
Saliency detection in images attracts much research attention for its usage in numerous multimedia applications. Beside on the detection within the single image, co-saliency has been developed rapidly by detecting the same foreground objects in different images and trying to further promote the performance of object detection. This paper we propose a co-saliency detection method based on Siamese Network. By using Siamese Network, we get the similarity matrix of each image in superpixels. Guided by the single image saliency map, each saliency value, saliency score matrix is obtained to generate the multi image saliency map. Our final saliency map is a linear combination of these two saliency maps. The experiments show that our method performs better than other state-of-arts methods.
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Lei, Z., Chai, W., Zhao, S., Song, H., Li, F. (2018). Co-saliency Detection Based on Siamese Network. In: Zhu, L., Zhong, S. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2017. Communications in Computer and Information Science, vol 747. Springer, Singapore. https://doi.org/10.1007/978-981-10-8890-2_8
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DOI: https://doi.org/10.1007/978-981-10-8890-2_8
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