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Weakly Correlated Knowledge Integration for Few-shot Image Classification
2022
Machine Intelligence Research
AbstractVarious few-shot image classification methods indicate that transferring knowledge from other sources can improve the accuracy of the classification. However, most of these methods work with one single source or use only closely correlated knowledge sources. In this paper, we propose a novel weakly correlated knowledge integration (WCKI) framework to address these issues. More specifically, we propose a unified knowledge graph (UKG) to integrate knowledge transferred from different
doi:10.1007/s11633-022-1320-9
fatcat:2r4igsbrk5ep3bccxsroexlrfm