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  Dual Contrastive Loss and Attention for GANs

Yu, N., Liu, G., Dundar, A., Tao, A., Catanzaro, B., Davis, L., et al. (2021). Dual Contrastive Loss and Attention for GANs. In ICCV 2021 (pp. 6711-6722). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.00666.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-CEF8-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-7067-2
Genre: Conference Paper
Latex : Dual Contrastive Loss and Attention for {GANs}

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Yu_Dual_Contrastive_Loss_and_Attention_for_GANs_ICCV_2021_paper.pdf (Preprint), 6MB
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These ICCV 2021 papers are the Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.
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 Creators:
Yu, Ning1, Author           
Liu, Guilin2, Author
Dundar, Aysegul2, Author
Tao, Andrew2, Author
Catanzaro, Bryan2, Author
Davis, Larry2, Author
Fritz, Mario2, 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: 2021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Yu_ICCV21
DOI: 10.1109/ICCV48922.2021.00666
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Title: IEEE/CVF International Conference on Computer Vision
Place of Event: Virtual Event
Start-/End Date: 2021-10-11 - 2021-10-17

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Title: ICCV 2021
  Abbreviation : ICCV 2021
  Subtitle : 2021 IEEE/CVF International Conference on Computer Vision ; Proceedings
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 6711 - 6722 Identifier: ISBN: 978-1-6654-2812-5