CrossMambaTuning: Synergistic Spatial and Cross-Layer Adaptation for Machine Vision Compression
This work designs an efficient Mamba adapter equipped with task-specific prompts and multi-scale branching to precisely capture both local features and global dependencies and introduces a Scale-Invariant Cross-Layer Adapter (SICA) utilizing a parameter-sharing strategy to fuse task information across different scales...