RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation

arXiv:2404.02457v1 Announce Type: new
Abstract: Semantic segmentation of remote sensing images is a fundamental task in geoscience research. However, there are some significant shortcomings for the widely used convolutional neural networks (CNNs) and Transformers. The former is limited by its insufficient long-range modeling capabilities, while the latter is hampered by its computational complexity. Recently, a novel visual state space (VSS) model represented by Mamba has emerged, capable of modeling long-range relationships with linear computability. In this work, we propose a …

arxiv cs.cv images segmentation semantic sensing space state state space model type visual