Jian Jiang

The work presents SCISSR, a scribble-promptable framework for interactive surgical scene segmentation: a lightweight Scribble Encoder turns freehand scribbles into dense prompt embeddings compatible with the mask decoder, and together with Spatial Gated Fusion and toggleable LoRA adapters it supports multi-round correction over a frozen SAM 2 backbone, reaching 95.41% Dice on EndoVis 2018 with five interaction rounds and 96.30% Dice on the unseen CholecSeg8k with three rounds, outperforming iterative point prompting on both benchmarks.

The work presents SCISSR, a scribble-promptable framework for interactive surgical scene segmentation: a lightweight Scribble Encoder turns freehand scribbles into dense prompt embeddings compatible with the mask decoder, and together with Spatial Gated Fusion and toggleable LoRA adapters it supports multi-round correction over a frozen SAM 2 backbone, reaching 95.41% Dice on EndoVis 2018 with five interaction rounds and 96.30% Dice on the unseen CholecSeg8k with three rounds, outperforming iterative point prompting on both benchmarks.