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  Task Switching Network for Multi-task Learning

Sun, G., Probst, T., Paudel, D. P., Popovic, N., Kanakis, M., Patel, J., et al. (2021). Task Switching Network for Multi-task Learning. In ICCV 2021 (pp. 8271-8280). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.00818.

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Sun_Task_Switching_Network_for_Multi-Task_Learning_ICCV_2021_paper.pdf (Preprint), 2MB
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Sun_Task_Switching_Network_for_Multi-Task_Learning_ICCV_2021_paper.pdf
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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:
Sun, Guolei1, Author
Probst, Thomas1, Author
Paudel, Danda Pani1, Author
Popovic, Nikola1, Author
Kanakis, Menelaos1, Author
Patel, Jagruti1, Author
Dai, Dengxin2, Author           
Van Gool, Luc1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: 10 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Sun_ICCV21
DOI: 10.1109/ICCV48922.2021.00818
 Degree: -

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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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Project name : 4DRepLy
Grant ID : 770784
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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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: 8271 - 8280 Identifier: ISBN: 978-1-6654-2812-5