Активне навчання у задачі виявлення об’єктів

dc.contributor.advisor	Швай, Надія
dc.contributor.author	Ронська, Дарина
dc.date.accessioned	2024-04-10T10:12:26Z
dc.date.available	2024-04-10T10:12:26Z
dc.date.issued	2022
dc.description.abstract	Active Learning allows to spend less time on data labeling which is vastly beneficial in Computer Vision with continuously growing number of datasets and its images. It is achieved by smarter strategy than random one to queue the images for labeling that allows to give most informative images to the model first. In this work state-of-the-art Multiple Instance Active Learning for Object Detection (MI-AOD) method is improved by the changes in its uncertainty function which corresponds for informativeness of the image. Also, the statement of MI-AOD authors about its usage for noisy images filtering is proved.	uk_UA
dc.identifier.uri	https://ekmair.ukma.edu.ua/handle/123456789/28818
dc.language.iso	uk	uk_UA
dc.relation.organisation	НаУКМА	uk_UA
dc.status	first published	uk_UA
dc.subject	MI-AOD: Multiple Instance Active Learning for Object Detection	uk_UA
dc.subject	рroposed metrics for uncertainty re-weighting	uk_UA
dc.subject	metrics comparison and results	uk_UA
dc.subject	motivation to use MI-AOD for blurred pictures filtering	uk_UA
dc.subject	магістерська робота	uk_UA
dc.title	Активне навчання у задачі виявлення об’єктів	uk_UA
dc.type	Other	uk_UA

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