Object detection and classification with limited training data

dc.contributor.authorWong, Patrick
dc.contributor.authorZhao, Yifan
dc.date.accessioned2025-06-23T13:55:50Z
dc.date.available2025-06-23T13:55:50Z
dc.date.freetoread2025-06-23
dc.date.issued2025-06-18
dc.date.pubOnline2025-06-18
dc.description.abstractSince the rise of deep learning around a decade ago, the field of object detection and classification using a convolutional neural network (CNN) and its variants has grown exponentially...
dc.description.journalNameApplied Sciences
dc.identifier.citationWong P, Zhao Y. (2025) Object detection and classification with limited training data. Applied Sciences, Volume 15, Issue 12, June 2025, Article number 6842en_UK
dc.identifier.eissn2076-3417
dc.identifier.elementsID673710
dc.identifier.issueNo12
dc.identifier.paperNo6842
dc.identifier.urihttps://doi.org/10.3390/app15126842
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/24057
dc.identifier.volumeNo15
dc.languageEnglish
dc.language.isoen
dc.publisherMDPIen_UK
dc.publisher.urihttps://www.mdpi.com/2076-3417/15/12/6842
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleObject detection and classification with limited training dataen_UK
dc.typeArticle
dcterms.dateAccepted2025-06-16

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