Personal Fixations-Based Object Segmentation With Object Localization and Boundary Preservation
As a natural way for human-computer interaction, fixation provides a promising solution for interactive image segmentation. In this paper, we focus on Personal Fixations-based Object Segmentation (PFOS) to address issues in previous studies, such as the lack of appropriate dataset and the ambiguity...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 18., Seite 1461-1475
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| 1. Verfasser: |
Li, Gongyang
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Zhi,
Shi, Ran,
Hu, Zheng,
Wei, Weijie,
Wu, Yong,
Huang, Mengke,
Ling, Haibin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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