SingularValueFine-tuning: Few-shotSegmentation requiresFew-parametersFine-tuning-SupplementaryMaterial

Different finetune strategy: In Figure 1, we visualize the mIoU curve of different fine-tuning strategies. It can be seen that both layer-based and convolution-based fine-tuning methods bring over-fitting problems. This result shows that traditional fine-tuning methods are not suitable for few-shot segmentation tasks. Directly fine-tuning theparameters ofbackbone infew-shot learning affects the robustness ofFSS models. Therefore, we propose anovelfine-tuning strategy,namely SVF.