The Cityscapes Dataset for Semantic Urban Scene Understanding

Visual understanding of complex urban street scenes is an enabling factor for a wide range of applications. Object detection has benefited enormously from large-scale datasets, especially in the context of deep learning. For semantic urban scene understanding, however, no current dataset adequately...

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Vydané v:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) s. 3213 - 3223
Hlavní autori:	Cordts, Marius, Omran, Mohamed, Ramos, Sebastian, Rehfeld, Timo, Enzweiler, Markus, Benenson, Rodrigo, Franke, Uwe, Roth, Stefan, Schiele, Bernt
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2016
Predmet:	Benchmark testing Complexity theory Semantics Training Urban areas Vehicles Visualization
ISSN:	1063-6919
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