Learning Deep Structured Active Contours End-to-End

The world is covered with millions of buildings, and precisely knowing each instance's position and extents is vital to a multitude of applications. Recently, automated building footprint segmentation models have shown superior detection accuracy thanks to the usage of Convolutional Neural Netw...

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Vydané v:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition s. 8877 - 8885
Hlavní autori:	Zhang, Lisa, Bai, Min, Liao, Renjie, Urtasun, Raquel, Marcos, Diego, Tuia, Devis, Kellenberger, Benjamin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2018
Predmet:	Active contours Buildings Force Image segmentation Inference algorithms Semantics Training
ISSN:	1063-6919
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