Learn to Few-Shot Segment Remote Sensing Images from Irrelevant Data

Learn to Few-Shot Segment Remote Sensing Images from Irrelevant Data

Few-shot semantic segmentation (FSS) is committed to segmenting new classes with only a few labels. Generally, FSS assumes that base classes and novel classes belong to the same domain, which limits FSS’s application in a wide range of areas. In particular, since annotation is time-consuming, it is...

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Bibliographic Details
Main Authors:	Qingwei Sun, Jiangang Chao, Wanhong Lin, Zhenying Xu, Wei Chen, Ning He
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Series:	Remote Sensing
Subjects:	meta-learning cross-domain segmentation few-shot semantic segmentation transformer
Online Access:	https://www.mdpi.com/2072-4292/15/20/4937

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