A Novel One-Shot Object Detection via Multifeature Auxiliary Information

With the advantage of using only a limited number of samples, few-shot learning has been developed rapidly in recent years. It is mostly applied in the object classification or detection of a small number of samples which is typically less than ten. However, there is not much research related to few...

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Veröffentlicht in:	Security and communication networks 2022-02, Vol.2022, p.1-9
Hauptverfasser:	Song, Yu, Li, Min, Du, Weidong, Gou, Yao, Wu, Zhaoqing, He, Yujie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Datasets Feature extraction Modules Neural networks Object recognition Semantics Teaching methods
Online-Zugang:	Volltext
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