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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 5 vom: 18. Mai, Seite 1257-1271
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| Auteur principal: |
Nauata, Nelson
(Auteur) |
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| Autres auteurs: |
Hu, Hexiang,
Zhou, Guang-Tong,
Deng, Zhiwei,
Liao, Zicheng,
Mori, Greg |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2020
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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