A Probabilistic Associative Model for Segmenting Weakly-Supervised Images

Weakly-supervised image segmentation is an important yet challenging task in image processing and pattern recognition fields. It is defined as: in the training stage, semantic labels are only at the image-level, without regard to their specific object/scene location within the image. Given a test im...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 9 vom: 01. Sept., Seite 4150-4159
1. Verfasser: Zhang, Luming (VerfasserIn)
Weitere Verfasser: Yang, Yi, Gao, Yue, Yu, Yi, Wang, Changbo, Li, Xuelong
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article