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Few-Shot Learning Method Based on Symmetric Convolutional Block Network and PrototypeCalibration

To address the issues of poor generalization performance in few-shot learning models based on prototype networks and inaccurate class prototypes obtained from a small number of samples,a novel few-shot learning method is proposed in this paper.Firstly,a symmetric convolutional block network(SCB-Net)...

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Detaylı Bibliyografya
Yazar: LIU Shuai, BAI Xuefei, GAO Xiaofang
Materyal Türü: Artigo
Dil:Chinês
Baskı/Yayın Bilgisi: Editorial office of Computer Science 2024-11-01
Seri Bilgileri:Jisuanji kexue
Konular:
Online Erişim:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-11-182.pdf
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