Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
The goal of our work is to discover dominant objects in a very general setting where only a single unlabeled image is given. This is far more challenge than typical colocalization or weakly-supervised localization tasks. To tackle this problem, we propose a simple but effective pattern mining-based...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2020) vom: 19. Aug.
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| 1. Verfasser: |
Zhang, Runsheng
(VerfasserIn) |
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| Weitere Verfasser: |
Huang, Yaping,
Pu, Mengyang,
Zhang, Jian,
Guan, Qingji,
Zou, Qi,
Ling, Haibin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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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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