Zero-VAE-GAN : Generating Unseen Features for Generalized and Transductive Zero-Shot Learning
Zero-shot learning (ZSL) is a challenging task due to the lack of unseen class data during training. Existing works attempt to establish a mapping between the visual and class spaces through a common intermediate semantic space. The main limitation of existing methods is the strong bias towards seen...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2020) vom: 13. Jan.
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| 1. Verfasser: |
Gao, Rui
(VerfasserIn) |
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| Weitere Verfasser: |
Hou, Xingsong,
Qin, Jie,
Chen, Jiaxin,
Liu, Li,
Zhu, Fan,
Zhang, Zhao,
Shao, Ling |
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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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