Computer-Aided Civil and Infrastructure Engineering, volume 36, issue 1, pages 47-60

Generative adversarial network for road damage detection

Hiroya MAEDA ¹

Takehiro Kashiyama ¹

Yoshihide Sekimoto ¹

Toshikazu Seto ¹

Hiroshi OMATA ¹

Show full list: 5 authors

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University of Tokyo Tokyo Japan |

Publication type: Journal Article

Publication date: 2020-06-02

Wiley

Journal: Computer-Aided Civil and Infrastructure Engineering

scimago Q1

SJR: 2.972

CiteScore: 17.6

Impact factor: 8.5

ISSN: 10939687, 14678667

DOI: 10.1111/mice.12561

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Computer Science Applications

Computer Graphics and Computer-Aided Design

Computational Theory and Mathematics

Civil and Structural Engineering

Abstract

Machine learning can produce promising results when sufficient training data are available; however, infrastructure inspections typically do not provide sufficient training data for road d...

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GOST |

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GOST Copy

MAEDA H. et al. Generative adversarial network for road damage detection // Computer-Aided Civil and Infrastructure Engineering. 2020. Vol. 36. No. 1. pp. 47-60.

GOST all authors (up to 50) Copy

MAEDA H., Kashiyama T., Sekimoto Y., Seto T., OMATA H. Generative adversarial network for road damage detection // Computer-Aided Civil and Infrastructure Engineering. 2020. Vol. 36. No. 1. pp. 47-60.

RIS |

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RIS Copy

TY - JOUR

DO - 10.1111/mice.12561

UR - https://doi.org/10.1111/mice.12561

TI - Generative adversarial network for road damage detection

T2 - Computer-Aided Civil and Infrastructure Engineering

AU - MAEDA, Hiroya

AU - Kashiyama, Takehiro

AU - Sekimoto, Yoshihide

AU - Seto, Toshikazu

AU - OMATA, Hiroshi

PY - 2020

DA - 2020/06/02

PB - Wiley

SP - 47-60

IS - 1

VL - 36

SN - 1093-9687

SN - 1467-8667

ER -

BibTex |

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BibTex (up to 50 authors) Copy

@article{2020_MAEDA,

author = {Hiroya MAEDA and Takehiro Kashiyama and Yoshihide Sekimoto and Toshikazu Seto and Hiroshi OMATA},

title = {Generative adversarial network for road damage detection},

journal = {Computer-Aided Civil and Infrastructure Engineering},

year = {2020},

volume = {36},

publisher = {Wiley},

month = {jun},

url = {https://doi.org/10.1111/mice.12561},

number = {1},

pages = {47--60},

doi = {10.1111/mice.12561}

}

MLA

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MLA Copy

MAEDA, Hiroya, et al. “Generative adversarial network for road damage detection.” Computer-Aided Civil and Infrastructure Engineering, vol. 36, no. 1, Jun. 2020, pp. 47-60. https://doi.org/10.1111/mice.12561.

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Publisher

Wiley

Journal

Computer-Aided Civil and Infrastructure Engineering

scimago Q1

SJR

2.972

CiteScore

17.6

Impact factor

8.5

ISSN

10939687 (Print)

14678667 (Electronic)