Performance Comparison of Saliency Detection

Author:

Li Ning1,Bi Hongbo1ORCID,Zhang Zheng1ORCID,Kong Xiaoxue1,Lu Di1

Affiliation:

1. Northeast Petroleum University, School of Electrical and Information Engineering, Development Road, Daqing 163000, China

Abstract

Saliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed. In this paper, a relatively more detailed classification is proposed. Furthermore, we selected 25 models and evaluated their performance using four public image datasets. We also discussed common problems, such as the influence to model performance by prior information and multiple objects. Finally, we offered future research directions.

Publisher

Hindawi Limited

Subject

General Computer Science

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