# Long-range Spatial Modeling

The first hybrid computer vision model combining the advantages of Mamba and Transformer, enhancing visual feature modeling capabilities through redesigned Mamba formulation

The first hybrid computer vision model combining the advantages of Mamba and Transformer, enhancing visual feature modeling efficiency by reconstructing the Mamba formula, and improving long-range spatial dependency modeling by adding a self-attention module at the end of the Mamba architecture.

The first hybrid computer vision model combining the strengths of Mamba and Transformer, enhancing visual feature modeling through redesigned Mamba formulations and incorporating self-attention modules in the Mamba architecture to improve long-range spatial dependency modeling.