The balance between high accuracy and speed has always been a challenging task in semantic image segmentation. Compact segmentation networks are more widely used the case of limited resources, while their performances constrained. In this paper, motivated by residual learning global aggregation, we propose simple yet general effective knowledge distillation framework called double similarity (D...

Abstract Determining the extent to which two text snippets are semantically equivalent is a well-researched topic in areas of natural language processing, information retrieval and summarization. The sentence-to-sentence similarity scoring extensively used both generic query-based summarization documents as significance or indicator. Nevertheless, most these applications utilize concept semanti...

Determining the grade of semantic similarity between geospatial concepts is the basis for evaluating semantic interoperability of geographic information services and their users. Geometrical models, such as conceptual spaces, offer one way of representing geospatial concepts, which are modelled as n-dimensional regions. Previous approaches have suggested to measure semantic similarity between c...