Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning
Zero-shot learning (ZSL) is made possible by learning a projection function between a feature space and a semantic space (e.g., an attribute space). Key to ZSL is thus to learn a projection that is robust against the often large domain gap between the seen and unseen class domains. In this work, thi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 7 vom: 10. Juli, Seite 2510-2523
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| 1. Verfasser: |
Guan, Jiechao
(VerfasserIn) |
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| Weitere Verfasser: |
Lu, Zhiwu,
Xiang, Tao,
Li, Aoxue,
Zhao, An,
Wen, Ji-Rong |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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