Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation

Qun Li, Baoquan Sun, Fu Xiao +2

We propose Sym-Net, a novel framework for Few-Shot Segmentation (FSS) that addresses the critical issue of intra-class variation by jointly learning both query and support prototyp…