Knowledge Distillation of Grassmann Manifold Network for Remote Sensing Scene Classification

Due to device limitations, small networks are necessary for some real-world scenarios, such as satellites and micro-robots. Therefore, the development of a network with both good performance and small size is an important area of research. Deep networks can learn well from large amounts of data, whi...

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Detaylı Bibliyografya
Asıl Yazarlar:	Ling Tian, Zhichao Wang, Bokun He, Chu He, Dingwen Wang, Deshi Li
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2021-11-01
Seri Bilgileri:	Remote Sensing
Konular:	knowledge distillation Grassmann manifold neural network
Online Erişim:	https://www.mdpi.com/2072-4292/13/22/4537
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Knowledge Distillation of Grassmann Manifold Network for Remote Sensing Scene Classification

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