[R] Mamba Enters Remote Sensing! RS-Mamba: The First Application of SSM for Semantic Segmentation and Change Detection in Large Remote Sensing Images

# Content summary

**Mamba** shines in the world of large language models with its linear complexity and performance comparable to that of the transformer, making it a strong contender as a replacement for the transformer. Recent works, **Vim** and **VMamba**, have introduced Mamba into the visual imaging domain, sparking numerous breakthroughs in various fields of vision and generating a wealth of research using Mamba for visual tasks.

This paper marks the first introduction of Mamba into remote sensing, developing **RS-Mamba** …

application change complexity detection images language language models large language large language models linear machinelearning making mamba performance replacement segmentation semantic sensing ssm summary transformer vim world