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  GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories

Mudunuri, S. P., Sanyal, S., & Biswas, S. (2018). GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018) (pp. 602-611). Piscataway, NJ: IEEE. doi:10.1109/CVPRW.2018.00090.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-BDDA-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-68A6-C
Genre: Conference Paper

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 Creators:
Mudunuri, S. P.1, Author
Sanyal, S.2, Author           
Biswas, S.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: -

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Language(s): eng - English
 Dates: 2018-12-172018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/CVPRW.2018.00090
BibTex Citekey: 8575553
 Degree: -

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018)
Place of Event: Salt Lake City, UT
Start-/End Date: 2018-06-18 - 2018-06-22

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Title: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 602 - 611 Identifier: ISBN: 978-1-5386-6100-0
ISBN: 978-1-5386-6101-7
ISSN: 2160-7516
ISSN: 2160-7508