DS-UI : Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition
This paper proposes a dual-supervised uncertainty inference (DS-UI) framework for improving Bayesian estimation-based UI in DNN-based image recognition. In the DS-UI, we combine the classifier of a DNN, i.e., the last fully-connected (FC) layer, with a mixture of Gaussian mixture models (MoGMM) to o...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 05., Seite 9208-9219
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| 1. Verfasser: |
Xie, Jiyang
(VerfasserIn) |
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| Weitere Verfasser: |
Ma, Zhanyu,
Xue, Jing-Hao,
Zhang, Guoqiang,
Sun, Jian,
Zheng, Yinhe,
Guo, Jun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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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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