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  Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Losch, M., Fritz, M., & Schiele, B. (2021). Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. International Journal of Computer Vision, 129, 3136-3153. doi:10.1007/s11263-021-01498-0.

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Genre: Journal Article
Latex : Semantic Bottlenecks: {Q}uantifying and Improving Inspectability of Deep Representations

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Losch2021_Article_SemanticBottlenecksQuantifying.pdf (Publisher version), 7MB
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

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 Creators:
Losch, Max1, Author           
Fritz, Mario2, Author           
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Losch2021
DOI: 10.1007/s11263-021-01498-0
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Title: International Journal of Computer Vision
  Other : Int. J. Comput. Vis.
Source Genre: Journal
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Publ. Info: New York, NY : Springer
Pages: - Volume / Issue: 129 Sequence Number: - Start / End Page: 3136 - 3153 Identifier: ISSN: 0920-5691
CoNE: https://pure.mpg.de/cone/journals/resource/954925564668