Grammar Guided Genetic Programming for Network Architecture Search and Road Detection on Aerial Orthophotography
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gp-bibliography.bib Revision:1.8154
- @Article{delaFuenteCastillo:2020:AS,
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author = "Victor {de la Fuente Castillo} and
Alberto Diaz-Alvarez and Miguel-Angel Manso-Callejo and
Francisco {Serradilla Garcia}",
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title = "Grammar Guided Genetic Programming for Network
Architecture Search and Road Detection on Aerial
Orthophotography",
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journal = "Applied Sciences",
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year = "2020",
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volume = "10",
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number = "11",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2076-3417",
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URL = "https://www.mdpi.com/2076-3417/10/11/3953",
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DOI = "doi:10.3390/app10113953",
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abstract = "Photogrammetry involves aerial photography of the
Earths surface and subsequently processing the images
to provide a more accurate depiction of the area
(Orthophotography). It is used by the Spanish Instituto
Geográfico Nacional to update road cartography
but requires a significant amount of manual labor due
to the need to perform visual inspection of all tiled
images. Deep learning techniques (artificial neural
networks with more than one hidden layer) can perform
road detection but it is still unclear how to find the
optimal network architecture. Our main goal is the
automatic design of deep neural network architectures
with grammar-guided genetic programming. In this kind
of evolutive algorithm, all the population individuals
(here candidate network architectures) are constrained
to rules specified by a grammar that defines valid and
useful structural patterns to guide the search process.
Grammar used includes well-known complex structures
(e.g., Inception-like modules) combined with a custom
designed mutation operator (dynamically links the
mutation probability to structural diversity). Pilot
results show that the system is able to design models
for road detection that obtain test accuracies similar
to that reached by state-of-the-art models when
evaluated over a dataset from the Spanish National
Aerial Orthophotography Plan.",
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notes = "also known as \cite{app10113953}",
- }
Genetic Programming entries for
Victor de la Fuente Castillo
Alberto Diaz-Alvarez
Miguel-Angel Manso-Callejo
Francisco Serradilla Garcia
Citations