Structured Label Inference for Visual Understanding
Visual data such as images and videos contain a rich source of structured semantic labels as well as a wide range of interacting components. Visual content could be assigned with fine-grained labels describing major components, coarse-grained labels depicting high level abstractions, or a set of lab...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 5 vom: 17. Mai, Seite 1257-1271
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| 1. Verfasser: |
Nauata, Nelson
(VerfasserIn) |
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| Weitere Verfasser: |
Hu, Hexiang,
Zhou, Guang-Tong,
Deng, Zhiwei,
Liao, Zicheng,
Mori, Greg |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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