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...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 07. Juni
1. Verfasser: Zhao, Tianyi (VerfasserIn)
Weitere Verfasser: Zhang, Baopeng, He, Ming, Zhanga, Wei, Zhou, Ning, Yu, Jun, Fan, Jianping
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article