Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework
Attributes are mid-level semantic properties of objects. Recent research has shown that visual attributes can benefit many typical learning problems in computer vision community. However, attribute learning is still a challenging problem as the attributes may not always be predictable directly from...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 7 vom: 18. Juli, Seite 1747-1760
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| 1. Verfasser: |
Liang, Kongming
(VerfasserIn) |
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| Weitere Verfasser: |
Chang, Hong,
Ma, Bingpeng,
Shan, Shiguang,
Chen, Xilin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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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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