# Long-Range Spatial Modeling

MambaVision is the first hybrid computer vision model combining the strengths of Mamba and Transformer. It enhances visual feature modeling by redesigning the Mamba formulation and incorporates self-attention modules in the final layers of the Mamba architecture to improve long-range spatial dependency modeling.

The first hybrid computer vision model combining the advantages of Mamba and Transformer, enhancing visual feature modeling capability by reconstructing the Mamba formula

The first hybrid computer vision model combining the strengths of Mamba and Transformer, enhancing visual feature modeling efficiency through reconstructed Mamba formulas and introducing self-attention modules at the end of the Mamba architecture to improve long-range spatial dependency modeling.