ECCV 2022 | ssp: a new idea of small sample tasks with self-supporting matching

Paper title ：

Self-Support Few-Shot Semantic Segmentation

Thesis link ：

https://arxiv.org/abs/2207.11549

Code link ：

https://github.com/fanq15/SSP

This article is the first time （to my best knowledge） Self supporting matching is proposed in small sample tasks （self-support matching） Thought , And use it in small sample segmentation （Few-shot semantic segmentation, FSS） Tasks , With very novel ideas and very simple methods, good results have been achieved , No additional parameters , The model is very small , Training and testing are fast . At the same time, we hope to apply our self-supporting matching idea to other related tasks . The code is open source .