An iterative co-saliency framework for RGBD images

• Main Authors: Cong, Runmin, Lei, Jianjun, Fu, Huazhu, Lin, Weisi, Huang, Qingming, Cao, Xiaochun, Hou, Chunping
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Common Probability; Depth Shape Prior (DSP)
• Online Access: https://hdl.handle.net/10356/150978
• Institution: Nanyang Technological University

As a newly emerging and significant topic in computer vision community, co-saliency detection aims at discovering the common salient objects in multiple related images. The existing methods often generate the co-saliency map through a direct forward pipeline which is based on the designed cues or in...