Improving pedestrian segmentation using region proposal-based CNN semantic segmentation

Збережено в:
Бібліографічні деталі
Дата:2023
Автори: M. J. Lahgazi, P. Argoul, A. Hakim
Формат: Стаття
Мова:English
Опубліковано: 2023
Назва видання:Mathematical Modeling and Computing
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0001453313
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

Репозитарії

Library portal of National Academy of Sciences of Ukraine | LibNAS
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record_format dspace
spelling open-sciencenbuvgovua-1105322024-09-16T15:20:42Z Improving pedestrian segmentation using region proposal-based CNN semantic segmentation M. J. Lahgazi P. Argoul A. Hakim 2312-9794 2023 en Mathematical Modeling and Computing http://jnas.nbuv.gov.ua/article/UJRN-0001453313 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Mathematical Modeling and Computing
spellingShingle Mathematical Modeling and Computing
M. J. Lahgazi
P. Argoul
A. Hakim
Improving pedestrian segmentation using region proposal-based CNN semantic segmentation
format Article
author M. J. Lahgazi
P. Argoul
A. Hakim
author_facet M. J. Lahgazi
P. Argoul
A. Hakim
author_sort M. J. Lahgazi
title Improving pedestrian segmentation using region proposal-based CNN semantic segmentation
title_short Improving pedestrian segmentation using region proposal-based CNN semantic segmentation
title_full Improving pedestrian segmentation using region proposal-based CNN semantic segmentation
title_fullStr Improving pedestrian segmentation using region proposal-based CNN semantic segmentation
title_full_unstemmed Improving pedestrian segmentation using region proposal-based CNN semantic segmentation
title_sort improving pedestrian segmentation using region proposal-based cnn semantic segmentation
publishDate 2023
url http://jnas.nbuv.gov.ua/article/UJRN-0001453313
work_keys_str_mv AT mjlahgazi improvingpedestriansegmentationusingregionproposalbasedcnnsemanticsegmentation
AT pargoul improvingpedestriansegmentationusingregionproposalbasedcnnsemanticsegmentation
AT ahakim improvingpedestriansegmentationusingregionproposalbasedcnnsemanticsegmentation
first_indexed 2024-09-17T04:11:24Z
last_indexed 2024-09-17T04:11:24Z
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