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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorBeelen, Daan
dc.contributor.authorPijl, Mark van der
dc.date.accessioned2024-08-07T23:02:09Z
dc.date.available2024-08-07T23:02:09Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/47120
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectMultiple Pretext Tasks from the Self-Supervised Learning setup are applied to a dataset containing river segments with various complex morphologies.
dc.titleSelf-Supervised Learning of River Morphology with Visual Pretext Tasks
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuApplied Data Science
dc.thesis.id36215


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