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  Loss Functions for Top-k Error: Analysis and Insights

Lapin, M., Hein, M., & Schiele, B. (2016). Loss Functions for Top-k Error: Analysis and Insights. In 29th IEEE Conference on Computer Vision and Pattern Recognition (pp. 1468-1477). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/CVPR.2016.163.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-1FA1-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-212E-7
Genre: Conference Paper
Latex : Loss Functions for Top-k Error: {A}nalysis and Insights

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 Creators:
Lapin, Maksim1, Author           
Hein, Matthias2, Author
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2016-03-022016-12-122016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: lapin2016loss
DOI: 10.1109/CVPR.2016.163
 Degree: -

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Title: 29th IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Las Vegas, NV, USA
Start-/End Date: 2016-06-26 - 2016-07-01

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Title: 29th IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2016
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1468 - 1477 Identifier: ISBN: 978-1-4673-8852-8