Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks
Deep convolutional neural networks (CNNs) have shown their great success on image classification. CNNs mainly consist of convolutional and pooling layers, both of which are performed on local image areas without considering the dependence among different image regions. However, such dependence is ve...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 7 vom: 15. Juli, Seite 2983-2996
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| 1. Verfasser: |
Zuo, Zhen
(VerfasserIn) |
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| Weitere Verfasser: |
Shuai, Bing,
Wang, Gang,
Liu, Xiao,
Wang, Xingxing,
Wang, Bing,
Chen, Yushi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2016
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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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