Publication:
Оne-stage object detection models overview

cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
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cris.virtualsource.departmentbb3b260d-02fd-4d9f-99c3-99e10c9db996
cris.virtualsource.department92b503f3-35e7-4852-a541-5c1df9f223bc
cris.virtualsource.orcidbb3b260d-02fd-4d9f-99c3-99e10c9db996
cris.virtualsource.orcid92b503f3-35e7-4852-a541-5c1df9f223bc
dc.contributor.authorAvramenko, S.E.
dc.contributor.authorZheldak, T.A
dc.date.accessioned2024-07-03T08:13:05Z
dc.date.available2024-07-03T08:13:05Z
dc.date.issued2024
dc.description.abstractObject detection stands as a cornerstone in the realm of computer vision, presenting both profound challenges and immense potential. Beyond mere image classification, it demands the precise localization of objects within an image, a task that holds significant promise and difficulty. Today, its significance resonates deeply with the advancements in the Internet of Things (IoT), finding widespread application in domains such as video surveillance and intelligent transportation.uk_UA
dc.identifier.citationAvramenko S.E., Zheldak T.A. Оne-stage object detection models overview / Avramenko S.E., Zheldak T.A // Інформаційні технології: теорія і практика : тези доповідей I (VII) міжнародної науково-практичної конференції здобувачів вищої освіти і молодих учених (Дніпро 20-22 березня 2024) – Дніпро : Свідлер А.Л., 2024. – С. 156-157.uk_UA
dc.identifier.udk004.932 : 004.896uk_UA
dc.identifier.urihttp://ir.nmu.org.ua/handle/123456789/167227
dc.language.isoenuk_UA
dc.subjectстенди виявлення предметівuk_UA
dc.subjectвиявлення об'єктівuk_UA
dc.subjectThings (IoT)uk_UA
dc.subjectobject detection standsuk_UA
dc.subjectоbject detectionuk_UA
dc.titleОne-stage object detection models overviewuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

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