Object detection using YOLO: challenges, architectural successors, datasets and applications

Object detection is one of the predominant and challenging problems in computer vision. Over the decade, with the expeditious evolution of deep learning, researchers have extensively experimented and contributed in the performance enhancement of object detection and related tasks such as object clas...

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Vydané v:	Multimedia tools and applications Ročník 82; číslo 6; s. 9243 - 9275
Hlavní autori:	Diwan, Tausif, Anirudh, G., Tembhurne, Jitendra V.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.03.2023 Springer Nature B.V
Predmet:	Accuracy Architecture Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Detectors Inference Machine learning Multimedia Information Systems Object recognition Performance enhancement Proposals Sensors Special Purpose and Application-Based Systems YOLO Deep learning Computer vision Convolutional neural networks Object detection
ISSN:	1380-7501, 1573-7721
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