Visual Prompting for Generalized Few-shot Semantic Segmentation: A Multi-scale Approach

A simple yet effective visual prompting approach for generalized few-shot semantic segmentation that learns visual prompts for both base and novel classes, and utilizes a novel-to-base causal attention mechanism to enhance the novel prompts without deteriorating base class performance.