Publication:

SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging

Date

2025
Proceedings Paper
https://doi.org/10.1007/978-3-031-73039-9_18
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dc.contributor.authorZeng, Haijin
dc.contributor.authorLiu, Yuxi
dc.contributor.authorChen, Yongyong
dc.contributor.authorLiu, Youfa
dc.contributor.authorPeng, Chong
dc.contributor.authorSu, Jingyong
dc.contributor.imecauthorZeng, Haijin
dc.contributor.orcidimecZeng, Haijin::0000-0003-0398-3316
dc.date.accessioned2024-12-06T16:45:48Z
dc.date.available2024-12-06T16:45:48Z
dc.date.issued2025
dc.description.wosFundingTextThis work was supported by the National Natural Science Foundation of China under Grants 62106063 and 62106081, by the Guangdong Natural Science Foundation under Grants 2022A1515010819 and 2022A1515010 800, and Guangdong Major Project of Basic and Applied Basic Research under Grant 2023B0303000010.
dc.identifier.doi10.1007/978-3-031-73039-9_18
dc.identifier.eisbn978-3-031-73039-9
dc.identifier.isbn978-3-031-73038-2
dc.identifier.issn0302-9743
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44926
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage311
dc.source.conference18th European Conference on Computer Vision (ECCV)
dc.source.conferencedateSEP 29-OCT 04, 2024
dc.source.conferencelocationMilan
dc.source.endpage328
dc.source.numberofpages18
dc.source.volume15122
dc.subject.keywordsDESIGN
dc.title

SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging

dc.typeProceedings paper
dspace.entity.typePublication
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