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Разработка нейросетевого метода обнаружения элементов конструкции международной космической станции

бакалаврская работа
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2017 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/2/v17-4868

Разработка нейросетевого метода обнаружения элементов конструкции международной космической станции

Abstract

Данная работа представляет исследование нейронной сети Faster R-CNN для обнаружения и распознавания частей международной космической станции. В результате исследования был получен детектор-классификатор для определения координат частей МКС на фотографиях.

Keywords

глубокое облучение, Космические летательные аппараты, международные космические станции, Нейронные сети, Распознавание образов, стыковка

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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