Quantized Densely Connected U-Nets for Efficient Landmark Localization

In this paper, we propose quantized densely connected U-Nets for efficient visual landmark localization. The idea is that features of the same semantic meanings are globally reused across the stacked U-Nets. This dense connectivity largely improves the information flow, yielding improved localizatio...

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Veröffentlicht in:	arXiv.org 2018-08
Hauptverfasser:	Tang, Zhiqiang, Peng, Xi, Geng, Shijie, Wu, Lingfei, Zhang, Shaoting, Metaxas, Dimitris
Format:	Artikel
Sprache:	eng
Schlagworte:	Information flow Iterative methods Landmarks Localization Training
Online-Zugang:	Volltext
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