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  CORL: Compositional Representation Learning for Few-Shot Classification

He, J., Kortylewski, A., & Yuille, A. (2023). CORL: Compositional Representation Learning for Few-Shot Classification. In 2023 IEEE Winter Conference on Applications of Computer Vision (pp. 3879-3888). Piscataway, NJ: IEEE. doi:10.1109/WACV56688.2023.00388.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-70D7-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0010-C425-7
Genre: Conference Paper
Latex : {CORL}: {C}ompositional Representation Learning for Few-Shot Classification

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He_CORL_Compositional_Representation_Learning_for_Few-Shot_Classification_WACV_2023_paper.pdf (Preprint), 714KB
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These WACV 2023 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:
He, Ju1, Author
Kortylewski, Adam2, Author                 
Yuille, Alan1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330              

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Language(s): eng - English
 Dates: 20232023
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: He_WACV23
DOI: 10.1109/WACV56688.2023.00388
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Title: IEEE Winter Conference on Applications of Computer Vision
Place of Event: Waikoloa, HI, USA
Start-/End Date: 2023-01-03 - 2023-01-07

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Title: 2023 IEEE Winter Conference on Applications of Computer Vision
  Abbreviation : WACV 2023
  Subtitle : Proceedings
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3879 - 3888 Identifier: ISBN: 978-1-6654-9346-8