A Review of Generalized Zero-Shot Learning Methods
Generalized zero-shot learning (GZSL) aims to train a model for classifying data samples under the condition that some output classes are unknown during supervised learning. To address this challenging task, GZSL leverages semantic information of the seen (source) and unseen (target) classes to brid...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 18. Apr., Seite 4051-4070
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| 1. Verfasser: |
Pourpanah, Farhad
(VerfasserIn) |
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| Weitere Verfasser: |
Abdar, Moloud,
Luo, Yuxuan,
Zhou, Xinlei,
Wang, Ran,
Lim, Chee Peng,
Wang, Xi-Zhao,
Wu, Q M Jonathan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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