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Improving Saliency Detection Via Multiple Kernel Boosting and Adaptive Fusion

Improving Saliency Detection Via Multiple Kernel Boosting and Adaptive Fusion

Starting at: Rs.5,500.00

5500 reward points

 Improving Saliency Detection Via Multiple Kernel Boosting and Adaptive Fusion

 novel framework to improve the saliency detection performance of an existing saliency model, which is used to generate the initial saliency map. First, a novel regional descriptor consisting of regional self-information, regional variance, and regional contrast on a number of features with local, global, and border context is proposed to describe the segmented regions at multiple scales. Then, regarding saliency computation as a regression problem, a multiple kernel boosting method based on support vector regression (MKB-SVR) is proposed to generate the complementary saliency map.


 


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  • Model: PROJ7190
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Monday 12 June, 2017.

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