Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings
Zero-shot learning aims to classify visual instances from unseen classes in the absence of training examples. This is typically achieved by directly mapping visual features to a semantic embedding space of classes (e.g., attributes or word vectors), where the similarity between the two modalities ca...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 18. Feb.
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| 1. Verfasser: |
Shen, Fumin
(VerfasserIn) |
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| Weitere Verfasser: |
Zhou, Xiang,
Yu, Jun,
Yang, Yang,
Liu, Li,
Shen, Heng Tao |
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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 image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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