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  Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation

Wang, Q., Dai, D., Hoyer, L., Van Gool, L., & Fink, O. (2021). Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. In IEEE/CVF International Conference on Computer Vision (pp. 8495-8505). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.00840.

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© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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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:
Wang, Qin1, Author
Dai, Dengxin2, Author           
Hoyer, Lukas1, Author
Van Gool, Luc1, Author
Fink, Olga1, Author
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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: 20212021
 Publication Status: Published online
 Pages: 11 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: wang2021domain
DOI: 10.1109/ICCV48922.2021.00840
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Title: International Conference on Computer Vision
Place of Event: Virtual Event
Start-/End Date: 2021-10-11 - 2021-10-17

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Title: IEEE/CVF International Conference on Computer Vision
  Abbreviation : ICCV 2021
  Subtitle : Proceedings
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 8495 - 8505 Identifier: ISBN: 978-1-6654-2812-5