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  Efficient multi-task progressive learning for semantic segmentation and disparity estimation

Cuevas-Velasquez, H., Galan-Cuenca, A., Fisher, R. B., & Gallego, A. J. (2024). Efficient multi-task progressive learning for semantic segmentation and disparity estimation. Pattern Recognition, 154: 110601. doi:10.1016/j.patcog.2024.110601.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-5F97-A Version Permalink: https://hdl.handle.net/21.11116/0000-0010-5F98-9
Genre: Journal Article

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https://doi.org/10.1016/j.patcog.2024.110601 (Publisher version)
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 Creators:
Cuevas-Velasquez, Hanz1, Author           
Galan-Cuenca, Alejandro2, Author
Fisher, Robert B.2, Author
Gallego, Antonio Javier2, Author
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Black
 Abstract: -

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Language(s): eng - English
 Dates: 2024-05-172024-10
 Publication Status: Issued
 Pages: 18
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.patcog.2024.110601
BibTex Citekey: WOS:001246416800001
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Title: Pattern Recognition
  Other : Pattern Recognit.
Source Genre: Journal
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Publ. Info: Oxford : Pergamon
Pages: - Volume / Issue: 154 Sequence Number: 110601 Start / End Page: - Identifier: ISSN: 0031-3203
CoNE: https://pure.mpg.de/cone/journals/resource/954925431363