Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images

Deep learning has been widely used in remote sensing image segmentation, while a lack of training data remains a significant issue. The few-shot segmentation of remote sensing images refers to the segmenting of novel classes with a few annotated samples. Although the few-shot segmentation of remote...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Yadang Chen, Chenchen Wei, Duolin Wang, Chuanjun Ji, Baozhu Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2022-08-01
Sarja:	Remote Sensing
Aiheet:	few-shot segmentation few-shot segmentation of remote sensing images self-supervised learning contrast learning
Linkit:	https://www.mdpi.com/2072-4292/14/17/4254
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!