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

Cuevas-Velasquez, Hanz; Galan-Cuenca, Alejandro; Fisher, Robert B.; Gallego, Antonio Javier

doi:10.1016/j.patcog.2024.110601

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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) Open Access Hybrid

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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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Language(s): eng - English

Dates: Published Online: 2024-05-17Date issued: 2024-10

Publication Status: Issued

Pages: 18

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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