Yadang Chen

A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation

Few-shot semantic segmentation (FSS) aims to generate a model for segmenting novel classes using a limited number of annotated samples. Previous FSS methods have shown sensitivity to background noise due to inherent bias, attention bias, and spatial-aware bias. In this study, we propose a Transforme…