Efficient Uncertainty Estimation for Semantic Segmentation in Videos

Uncertainty estimation in deep learning becomes more important recently. A deep learning model can't be applied in real applications if we don't know whether the model is certain about the decision or not. Some literature proposes the Bayesian neural network which can estimate the uncertai...

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Veröffentlicht in:	arXiv.org 2018-07
Hauptverfasser:	Po-Yu, Huang, Wan-Ting, Hsu, Chun-Yueh Chiu, Ting-Fan, Wu, Sun, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous cars Backbone Bayesian analysis Computer simulation Machine learning Neural networks Semantic segmentation Uncertainty
Online-Zugang:	Volltext
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