Learning to Detect Salient Object With Multi-Source Weak Supervision
High-cost pixel-level annotations makes it appealing to train saliency detection models with weak supervision. However, a single weak supervision source hardly contain enough information to train a well-performing model. To this end, we introduce a unified two-stage framework to learn from category...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 7 vom: 04. Juli, Seite 3577-3589
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| 1. Verfasser: |
Zhang, Hongshuang
(VerfasserIn) |
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| Weitere Verfasser: |
Zeng, Yu,
Lu, Huchuan,
Zhang, Lihe,
Li, Jianhua,
Qi, Jinqing |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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