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Co-saliency Detection Based on Siamese Network

  • Zhengchao Lei
  • Weiyan Chai
  • Sanyuan Zhao
  • Hongmei Song
  • Fengxia Li
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 747)

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.

Keywords

Co-saliency detection Siamese network Feature extraction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Zhengchao Lei
    • 1
  • Weiyan Chai
    • 1
  • Sanyuan Zhao
    • 1
  • Hongmei Song
    • 1
  • Fengxia Li
    • 1
  1. 1.Beijing Laboratory of Intelligent Information Technology, School of Computer ScienceBeijing Institute of TechnologyBeijingPeople’s Republic of China

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