Image Super-Resolution Improved by Edge Information Using Residual Neural Networks
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Título da fonte: | Portal de Dados Abertos da CAPES |
Texto Completo: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=8193775 |
id |
BRCRIS_2c2351ee4d63f32ec6c6edd0862b0cc5 |
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network_acronym_str |
CAPES |
network_name_str |
Portal de Dados Abertos da CAPES |
dc.title.pt-BR.fl_str_mv |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks |
title |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks |
spellingShingle |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks mixed loss function combinação de funções de perda Eldrey Seolin Galindo |
title_short |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks |
title_full |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks |
title_fullStr |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks Image Super-Resolution Improved by Edge Information Using Residual Neural Networks |
title_full_unstemmed |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks Image Super-Resolution Improved by Edge Information Using Residual Neural Networks |
title_sort |
Image Super-Resolution Improved by Edge Information Using Residual Neural Networks |
topic |
mixed loss function combinação de funções de perda |
publishDate |
2020 |
format |
masterThesis |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=8193775 |
author_role |
author |
author |
Eldrey Seolin Galindo |
author_facet |
Eldrey Seolin Galindo |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/8183063906627083 |
dc.identifier.orcid.none.fl_str_mv |
https://orcid.org/0000-0001-6396-4761 |
dc.contributor.advisor1.fl_str_mv |
HELIO PEDRINI |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9600140904712115 |
dc.contributor.advisor1orcid.por.fl_str_mv |
https://orcid.org/0000-0003-0125-630X |
dc.publisher.none.fl_str_mv |
UNIVERSIDADE ESTADUAL DE CAMPINAS |
publisher.none.fl_str_mv |
UNIVERSIDADE ESTADUAL DE CAMPINAS |
instname_str |
UNIVERSIDADE ESTADUAL DE CAMPINAS |
dc.publisher.program.fl_str_mv |
CIÊNCIA DA COMPUTAÇÃO |
dc.description.course.none.fl_txt_mv |
CIÊNCIA DA COMPUTAÇÃO |
reponame_str |
Portal de Dados Abertos da CAPES |
collection |
Portal de Dados Abertos da CAPES |
spelling |
CAPESPortal de Dados Abertos da CAPESImage Super-Resolution Improved by Edge Information Using Residual Neural NetworksImage Super-Resolution Improved by Edge Information Using Residual Neural NetworksImage Super-Resolution Improved by Edge Information Using Residual Neural NetworksImage Super-Resolution Improved by Edge Information Using Residual Neural NetworksImage Super-Resolution Improved by Edge Information Using Residual Neural NetworksImage Super-Resolution Improved by Edge Information Using Residual Neural NetworksImage Super-Resolution Improved by Edge Information Using Residual Neural Networksmixed loss function2020masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=8193775authorEldrey Seolin Galindohttp://lattes.cnpq.br/8183063906627083https://orcid.org/0000-0001-6396-4761HELIO PEDRINIhttp://lattes.cnpq.br/9600140904712115https://orcid.org/0000-0003-0125-630XUNIVERSIDADE ESTADUAL DE CAMPINASUNIVERSIDADE ESTADUAL DE CAMPINASUNIVERSIDADE ESTADUAL DE CAMPINASCIÊNCIA DA COMPUTAÇÃOCIÊNCIA DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
identifier_str_mv |
Galindo, Eldrey Seolin. Image Super-Resolution Improved by Edge Information Using Residual Neural Networks. 2020. Tese. |
dc.identifier.citation.fl_str_mv |
Galindo, Eldrey Seolin. Image Super-Resolution Improved by Edge Information Using Residual Neural Networks. 2020. Tese. |
_version_ |
1741889274753581056 |