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Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification

In this paper, we present a novel methodology based on machine learning for identifying the most appropriate from a set of available state-of-the-art object detectors for a given application. Our particular interest is to develop a road map for identifying verifiably optimal selections, especially f...

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Detalles Bibliográficos
Autores principales: Mohamed, Elhassan, Sirlantzis, Konstantinos, Howells, Gareth, Hoque, Sanaul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330345/
https://www.ncbi.nlm.nih.gov/pubmed/35898097
http://dx.doi.org/10.3390/s22155596

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