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Salient object detection via two-stage absorbing Markov chain based on background and foreground
Affiliation:1. College of Computer and Information, Hohai University, Nanjing 211100, PR China;2. School of Information Engineering, Nanjing Audit University, Nanjing 211815, PR China;3. School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, PR China;1. UFSCar - Federal University of São Carlos, Department of Computing, São Carlos, Brazil;2. UNESP - São Paulo State University, School of Sciences, Bauru, Brazil;3. UNESP - São Paulo State University, School of Sciences, Bauru, Brazil;4. Ostbayerische Technische Hochschule, Regensburg, Germany;5. UNICAMP - University of Campinas, Institute of Computing, Campinas, Brazil;1. Department of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;2. College of information, Liaoning University, Liaoning 110036, China;1. School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing 210094, China;2. School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China;3. Research Center of Big Data and Social Computing, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China;1. Information Engineering Department, Tianjin University of Commerce, Tianjin 300134, China;2. School of Physical Education and Education Sciences, Tianjin Institute of Physical Education, Tianjin, China
Abstract:
Keywords:Saliency object detection  Markov chain  Background absorbing  Foreground absorbing
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