HD-MTL : Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition
In this paper, a hierarchical deep multi-task learning (HD-MTL) algorithm is developed to support large-scale visual recognition (e.g., recognizing thousands or even tens of thousands of atomic object classes automatically). First, multiple sets of multi-level deep features are extracted from differ...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 4 vom: 16. Apr., Seite 1923-1938
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| 1. Verfasser: |
Fan, Jianping
(VerfasserIn) |
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| Weitere Verfasser: |
Zhao, Tianyi,
Kuang, Zhenzhong,
Zheng, Yu,
Zhang, Ji,
Yu, Jun,
Peng, Jinye |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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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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