On Symbiosis of Attribute Prediction and Semantic Segmentation
Attributes are semantically meaningful characteristics whose applicability widely crosses category boundaries. They are particularly important in describing and recognizing concepts for which no explicit training example is given, e.g., zero-shot learning. Additionally, since attributes are human de...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 5 vom: 03. Mai, Seite 1620-1635 |
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| Format: | Article en ligne |
| Langue: | English |
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2021
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. |
| Accès en ligne |
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