Mostrar el registro sencillo del ítem

Exploring the trade-off between performance and annotation complexity in semantic segmentation

dc.contributor.authorFernández Moreno, Marta
dc.contributor.authorLei, Bo
dc.contributor.authorHolm, Elizabeth A
dc.contributor.authorMesejo Santiago, Pablo 
dc.contributor.authorMoreno, Raúl
dc.date.accessioned2023-06-27T08:43:39Z
dc.date.available2023-06-27T08:43:39Z
dc.date.issued2023-04-25
dc.identifier.citationM. Fernández-Moreno, B. Lei, E.A. Holm et al. Exploring the trade-off between performance and annotation complexity in semantic segmentation. Engineering Applications of Artificial Intelligence 123 (2023) 106299[https://doi.org/10.1016/j.engappai.2023.106299]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/82865
dc.description.sponsorshipNational Science Foundation, United States [grant numbers CMMI, 1826218es_ES
dc.description.sponsorshipAir Force D3OM2S Center of Excellence [grant number FA8650-19-2-5209]es_ES
dc.description.sponsorshipSpanish Ministry of Science and Innovation, the Andalusian Governmentes_ES
dc.description.sponsorshipEuropean Regional Development Funds (ERDF)es_ES
dc.description.sponsorshipCONFIA (PID2021-122916NB-I00es_ES
dc.description.sponsorshipFORAGE (B-TIC-456-UGR20)es_ES
dc.language.isoenges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSemantic segmentationes_ES
dc.subjectUnsupervised learninges_ES
dc.subjectWeakly Supervised Learninges_ES
dc.subjectDeep convolutional neural networkses_ES
dc.titleExploring the trade-off between performance and annotation complexity in semantic segmentationes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.engappai.2023.106299
dc.type.hasVersionVoRes_ES


Ficheros en el ítem

[PDF]
Nombre:
1-s2.0-S0952197623004839-main.pdf
Tamaño:
5.783Mb
Formato:
PDF

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional