Representative discovery of structure cues for weakly-supervised image segmentation

• Main Authors: ZHANG, Luming, GAO, Yue, XIA, Yingjie, LU, Ke, SHEN, Jialie, JI, Rongrong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Structure cues; active learning; graphlet; segmentation; weakly supervised; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/1956; https://ink.library.smu.edu.sg/context/sis_research/article/2955/viewcontent/RepresentativeDiscoveryStructureCuesWeakImage_2014.pdf
• Institution: Singapore Management University

Weakly-supervised image segmentation is a challenging problem with multidisciplinary applications in multimedia content analysis and beyond. It aims to segment an image by leveraging its imagelevel semantics (i.e., tags). This paper presents a weakly-supervised image segmentation algorithm that lear...