Prototype Calibration with Feature Generation for Few-Shot Remote Sensing Image Scene Classification

Few-shot classification of remote sensing images has attracted attention due to its important applications in various fields. The major challenge in few-shot remote sensing image scene classification is that limited labeled samples can be utilized for training. This may lead to the deviation of prot...

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Bibliografiska uppgifter

Huvudupphov:	Qingjie Zeng, Jie Geng, Kai Huang, Wen Jiang, Jun Guo
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2021-07-01
Serie:	Remote Sensing
Ämnen:	few-shot learning remote sensing classification feature learning scene classification prototype calibration
Länkar:	https://www.mdpi.com/2072-4292/13/14/2728
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