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dc.contributorMartínez Fernández, Silverio Juan
dc.contributorFranch Gutiérrez, Javier
dc.contributor.authorRey Juárez, Santiago del
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2023-03-15T11:57:37Z
dc.date.issued2023-01-26
dc.identifier.urihttp://hdl.handle.net/2117/385000
dc.description.abstractThe main goal of this study is to analyze the impact of the model architecture and training strategy when building green computer vision systems. We divide this goal into two research questions. In the first one, we analyze the impact of the model architecture on achieving greener models while keeping accuracy at optimal levels. In the second one, we study the influence of training strategy on producing greener systems.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshComputer vision
dc.subject.otherintel·ligència artificial
dc.subject.otheraprenentatge profund
dc.subject.otherxarxes neuronals
dc.subject.otheria verda
dc.subject.othereficiència energètica
dc.subject.othervisió per computador
dc.subject.otherartificial intelligence
dc.subject.otherdeep learning
dc.subject.otherneural networks
dc.subject.othergreen ai
dc.subject.otherenergy efficiency
dc.subject.othercomputer vision
dc.titleAn analysis of modeling and training decisions for greener computer vision systems
dc.title.alternativeAn analysis of modeling and deployment decisions for greener computer vision systems for chess broadcasting
dc.typeMaster thesis
dc.subject.lemacVisió per ordinador
dc.identifier.slug173116
dc.rights.accessRestricted access - confidentiality agreement
dc.date.lift10000-01-01
dc.date.updated2023-02-03T05:00:52Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017)


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