Enhancing Segment Anything Model Adaptation via Cross-Block Orchestration for Parameter-Efficient Fine-Tuning

The core message of this paper is to equip parameter-efficient fine-tuning (PEFT) with a cross-block orchestration mechanism to enable the adaptation of the Segment Anything Model (SAM) to various downstream scenarios, dubbed as SAM-COBOT.