ASurprisinglySimpleApproachto GeneralizedFew-ShotSemanticSegmentation

Neural Information Processing Systems 

Inthis paper,wepropose asimple yet effectivemethod for GFSS that does not use the techniques mentioned above. Also, wetheoretically show that our method perfectly maintains the segmentation performance of the base-class modelovermostofthebaseclasses. Through numerical experiments, we demonstrated the effectiveness of our method. It improved in novel-class segmentation performance in the1-shot scenario by6.1% on the PASCAL-5i dataset,4.7%on

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