Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
author
Lõuk, Roland
Riid, Andri
Pihlak, Rene
Tepljakov, Aleksei
statement of authorship
Roland Lõuk, Andri Riid, René Pihlak and Aleksei Tepljakov
source
Algorithms
publisher
MDPI
journal volume number month
vol. 13, 8
year of publication
2020
pages
art. 198, 27 p. : ill
url
https://doi.org/10.3390/a13080198
subject term
teekattematerjalid
defektid
neurovõrgud
digitaalfotod
sügavõpe
keyword
pavement distress
digital image
Deep Learning
transfer learning
Convolutional Neural Network
active learning
ISSN
1999-4893
notes
Bibliogr.: 49 ref
This article belongs to the Special Issue Bio-Inspired Algorithms for Image Processing
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100199795
https://www.scopus.com/record/display.uri?eid=2-s2.0-85090390206&origin=inward&txGid=26edbca5668d23b701c1f11234fbac1d
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ALGORITHMS&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000567145900001
category (general)
Mathematics
Matemaatika
Computer science
Arvutiteadus
category (sub)
Mathematics. Numerical analysis
Matemaatika. Numbriline analüüs
Computer science. Computational theory and mathematics
Arvutiteadus. Arvutusteooria ja matemaatika
Mathematics. Computational mathematics
Matemaatika. Arvutusmatemaatika
Mathematics. Theoretical computer science
Matemaatika. Teoreetiline arvutiteadus
quartile
Q2
TalTech department
tarkvarateaduse instituut
arvutisüsteemide instituut
language
ingise
Reserch Group
Laboratory of proactive technologies
Centre for intelligent systems