Availability: Computer vision – ECCV 2020 | Technische Universität München

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Bibliographic Details
Corporate Author:	ECCV Online (Author)
Other Authors:	Vedaldi, Andrea (Editor), Bischof, Horst 1967- (Editor), Brox, Thomas 1976- (Editor), Frahm, Jan-Michael (Editor)
Format:	Electronic Conference Proceedings eBook
Language:	English
Published:	Cham, Switzerland Springer [2020]
Series:	Lecture notes in computer science 12370
Subjects:	Image Processing and Computer Vision Optical data processing Bildverarbeitung Maschinelles Lernen Maschinelles Sehen Konferenzschrift > 2020 > Online
Links:	https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2 https://doi.org/10.1007/978-3-030-58595-2
Physical Description:	1 Online-Ressource (xlii, 789 Seiten) 304 Illustrationen, 287 in Farbe
ISBN:	9783030585952
DOI:	10.1007/978-3-030-58595-2

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Record in the Search Index

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genre	(DE-588)1071861417 Konferenzschrift 2020 Online gnd-content
genre_facet	Konferenzschrift 2020 Online
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physical	1 Online-Ressource (xlii, 789 Seiten) 304 Illustrationen, 287 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2020 ZDB-2-LNC_2020 ZDB-2-LNC ZDB-2-LNC_2020
publishDate	2020
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series	Lecture notes in computer science
series2	Lecture notes in computer science Image processing, computer vision, pattern recognition, and graphics
spellingShingle	Computer vision – ECCV 2020 16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV Lecture notes in computer science Image Processing and Computer Vision Optical data processing Bildverarbeitung (DE-588)4006684-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
subject_GND	(DE-588)4006684-8 (DE-588)4193754-5 (DE-588)4129594-8 (DE-588)1071861417
title	Computer vision – ECCV 2020 16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV
title_auth	Computer vision – ECCV 2020 16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV
title_exact_search	Computer vision – ECCV 2020 16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV
title_full	Computer vision – ECCV 2020 16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (eds.)
title_fullStr	Computer vision – ECCV 2020 16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (eds.)
title_full_unstemmed	Computer vision – ECCV 2020 16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (eds.)
title_short	Computer vision – ECCV 2020
title_sort	computer vision eccv 2020 16th european conference glasgow uk august 23 28 2020 proceedings part xxv
title_sub	16th European conference, Glasgow, UK, August 23-28, 2020 : proceedings, part XXV
topic	Image Processing and Computer Vision Optical data processing Bildverarbeitung (DE-588)4006684-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
topic_facet	Image Processing and Computer Vision Optical data processing Bildverarbeitung Maschinelles Lernen Maschinelles Sehen Konferenzschrift 2020 Online
url	https://doi.org/10.1007/978-3-030-58595-2
volume_link	(DE-604)BV014880109
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