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  Synthetic Convolutional Features for Improved Semantic Segmentation

He, Y., Schiele, B., & Fritz, M. (2021). Synthetic Convolutional Features for Improved Semantic Segmentation. In A. Bartoli, & A. Fusiello (Eds.), Computer Vision -- ECCV Workshops 2020 (pp. 320-336). Berlin: Springer. doi:10.1007/978-3-030-66823-5_19.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-4704-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2256-B
Genre: Conference Paper

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2009.08849.pdf (Preprint), 3MB
 
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 Creators:
He, Yang1, Author           
Schiele, Bernt2, Author                 
Fritz, Mario1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2019-05-272020-10-2220212021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: He_ECCV20
DOI: 10.1007/978-3-030-66823-5_19
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Title: 16th European Conference on Compute Vision
Place of Event: Glasgow, UK
Start-/End Date: 2020-08-23 - 2020-08-28

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Title: Computer Vision -- ECCV Workshops 2020
  Abbreviation : ECCV 2020
  Other : ACVR 2020
  Subtitle : Glasgow, UK, August 23–28, 2020 ; Proceedings, Part IV
Source Genre: Proceedings
 Creator(s):
Bartoli, Adrien1, Editor
Fusiello, Andrea1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 320 - 336 Identifier: ISBN: 978-3-030-66822-8

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Pages: - Volume / Issue: 12538 Sequence Number: - Start / End Page: - Identifier: -