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  ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

Sakaridis, C., Dai, D., & Van Gool, L. (2021). ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. In IEEE/CVF International Conference on Computer Vision (pp. 10745-10755). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.01059.

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Latex : {ACDC}: {The} Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

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These research 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:
Sakaridis, Christos1, Author
Dai, Dengxin2, Author           
Van Gool, Luc1, 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: 20 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: SakaridisICCV21
DOI: 10.1109/ICCV48922.2021.01059
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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: 10745 - 10755 Identifier: -