Hybrid feature enhancement network for few-shot semantic segmentation

•We propose a hybrid feature enhancement (HFE) idea to enrich the feature encoder of few-shot segmentation.•We apply adaptive loss (AL) in a batch training to make network training more stable and beneficial.•The proposed method achieves the SOTA results in the field of few-shot segmentation on the datasets PASCAL-5i and FSS-1000.