**5. Conclusions**

In this paper, we propose a novel few-shot semantic segmentation method named DCNet, which is composed of CPG and BGL. Our approach is able to extract comprehensive support information through our proposed CPG module and generate discriminative feature representation for background pixels by BGL. Extensive experiments demonstrate the effectiveness of our proposed method.

**Author Contributions:** Main contribution: Q.R.; supervision: J.C. All authors have read and agreed to the published version of the manuscript.

**Funding:** This work is supported by the Nature Science Foundation of China (No.61972217, No. 62081360152), Natural Science Foundation of Guangdong Province in China (No. 2019B15 15120049, 2020B1111340056).

**Institutional Review Board Statement:** Ethical review and approval were waived for this study, due to no humans or animals were involved.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** Not applicable.
