Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation
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DOI: 10.1109/tcsvt.2022.3223150
Abstract: Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Encouraging progress has been made for FSS by leveraging semantic features learned from base classes with sufficient training samples to represent… read more here.
Keywords: valued correlation; correlation learning; quaternion valued; quaternion ... See more keywords