Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition
In this paper, a layer-wise mixture model (LMM) is developed to support hierarchical visual recognition, where a Bayesian approach is used to automatically adapt the visual hierarchy to the progressive improvements of the deep network along the time. Our LMM algorithm can provide an end-to-end appro...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 07. Juni
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1. Verfasser: |
Zhao, Tianyi
(VerfasserIn) |
Weitere Verfasser: |
Zhang, Baopeng,
He, Ming,
Zhanga, Wei,
Zhou, Ning,
Yu, Jun,
Fan, Jianping |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2018
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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 |