DifFSS: Diffusion Model for Few-Shot Semantic Segmentation

Understand

Diffusion models have demonstrated excellent performance in image generation.

• Although various few-shot semantic segmentation (FSS) models with different network structures have been proposed, performance improvement has reached a bottleneck.
• This paper presents the first work to leverage the diffusion model for FSS task, called DifFSS.
• DifFSS, a novel FSS paradigm, can further improve the performance of the state-of-the-art FSS models by a large margin without modifying their network structure.