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Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification

Deep learning-based methods succeed in remote sensing scene classification (RSSC). However, current methods require training on a large dataset, and if a class does not appear in the training set, it does not work well. Zero-shot classification methods are designed to address the classification for...

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Detaylı Bibliyografya
Asıl Yazarlar:	Zihao Li, Daobing Zhang, Yang Wang, Daoyu Lin, Jinghua Zhang
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2022-04-01
Seri Bilgileri:	Applied Sciences
Konular:	remote sensing scene classification zero-shot learning generative adversarial network
Online Erişim:	https://www.mdpi.com/2076-3417/12/8/3760
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification

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