Multi level refinement enriched feature pyramid network for scale and class imbalance in object detection

Multi level refinement enriched feature pyramid network for scale and class imbalance in object detection

Object detection becomes challenging due to feature unbalancing, less contextual information and class imbalance. The feature pyramid has been used to learn multiscale representation in modern detectors. However, the current version of the feature pyramid failed to integrate useful semantic informat...

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书目详细资料
主要作者:	Aziz, Lubna
格式:	Thesis
语言:	English
出版:	2022
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/101479/1/LubnaAzizPSC2022.pdf.pdf
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