Parameter-efficient adaptation of large vision—language models for video memorability prediction

Detalles Bibliográficos
Autores: Martín Fernández, Iván|||0009-0004-2769-9752, Esteban Romero, Sergio|||0009-0008-6336-7877, Fernández Martínez, Fernando|||0000-0003-3877-0089, Gil Martín, Manuel|||0000-0002-4285-6224
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:88245
Acceso en línea:https://oa.upm.es/88245/
Access Level:acceso abierto
Palabra clave:Large visual language models
video memorability
multimedia perception
efficient adaptation
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spelling Parameter-efficient adaptation of large vision—language models for video memorability predictionMartín Fernández, Iván|||0009-0004-2769-9752Esteban Romero, Sergio|||0009-0008-6336-7877Fernández Martínez, Fernando|||0000-0003-3877-0089Gil Martín, Manuel|||0000-0002-4285-6224Large visual language modelsvideo memorabilitymultimedia perceptionefficient adaptation20252025-03-07journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/88245/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:882452026-06-21T12:45:07Z
dc.title.none.fl_str_mv Parameter-efficient adaptation of large vision—language models for video memorability prediction
title Parameter-efficient adaptation of large vision—language models for video memorability prediction
spellingShingle Parameter-efficient adaptation of large vision—language models for video memorability prediction
Martín Fernández, Iván|||0009-0004-2769-9752
Large visual language models
video memorability
multimedia perception
efficient adaptation
title_short Parameter-efficient adaptation of large vision—language models for video memorability prediction
title_full Parameter-efficient adaptation of large vision—language models for video memorability prediction
title_fullStr Parameter-efficient adaptation of large vision—language models for video memorability prediction
title_full_unstemmed Parameter-efficient adaptation of large vision—language models for video memorability prediction
title_sort Parameter-efficient adaptation of large vision—language models for video memorability prediction
dc.creator.none.fl_str_mv Martín Fernández, Iván|||0009-0004-2769-9752
Esteban Romero, Sergio|||0009-0008-6336-7877
Fernández Martínez, Fernando|||0000-0003-3877-0089
Gil Martín, Manuel|||0000-0002-4285-6224
author Martín Fernández, Iván|||0009-0004-2769-9752
author_facet Martín Fernández, Iván|||0009-0004-2769-9752
Esteban Romero, Sergio|||0009-0008-6336-7877
Fernández Martínez, Fernando|||0000-0003-3877-0089
Gil Martín, Manuel|||0000-0002-4285-6224
author_role author
author2 Esteban Romero, Sergio|||0009-0008-6336-7877
Fernández Martínez, Fernando|||0000-0003-3877-0089
Gil Martín, Manuel|||0000-0002-4285-6224
author2_role author
author
author
dc.subject.none.fl_str_mv Large visual language models
video memorability
multimedia perception
efficient adaptation
topic Large visual language models
video memorability
multimedia perception
efficient adaptation
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-03-07
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/88245/
url https://oa.upm.es/88245/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543