SILSM: A Sustainable Interactive Level Set Method for Progressive Refinement 事件

SILSM: A Sustainable Interactive Level Set Method for Progressive Refinement arXiv:2605.24448v1 Announce Type: new Abstract: Interactive segmentation aims to precisely isolate target objects using sparse user guidance. However, traditional methods often suffer from heavy interaction burdens and parameter sensitivity, while deep learning approaches struggle with data dependency and iterative instability. Motivated by these limitations, we propose the Sustainable Interactive Level Set Method (SIL