Learning From Human Attention for Attribute-Assisted Visual Recognition
With prior knowledge of seen objects, humans have a remarkable ability to recognize novel objects using shared and distinct local attributes. This is significant for the challenging tasks of zero-shot learning (ZSL) and fine-grained visual classification (FGVC), where the discriminative attributes o...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 23. Nov., Seite 11152-11167
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| 1. Verfasser: |
Bai, Xiao
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Pengcheng,
Yu, Xiaohan,
Zheng, Jin,
Hancock, Edwin R,
Zhou, Jun,
Gu, Lin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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