# Hierarchical Feature Extraction

Mambavision L3 512 21K
Other
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.
Image Classification Transformers
M
nvidia
7,548
49
Mambavision L2 512 21K
Other
The first hybrid computer vision model combining the advantages of Mamba and Transformer, enhancing visual feature modeling capability by reconstructing the Mamba formula
Image Classification Transformers
M
nvidia
2,678
3
Mambavision B 21K
Other
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.
Image Classification Transformers
M
nvidia
1,395
4
Mambavision L 1K
Other
The first hybrid computer vision model combining the advantages of Mamba and Transformer, enhancing visual feature modeling capabilities through redesigned Mamba formulation
Image Classification Transformers
M
nvidia
1,542
5
Mambavision S 1K
Other
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.
Image Classification Transformers
M
nvidia
908
8
Mambavision T 1K
Other
MambaVision is the first hybrid computer vision model combining the advantages of Mamba and Transformer, significantly enhancing the modeling capability of long-range spatial dependencies through redesigned Mamba formulas and integrated ViT modules.
Image Classification Transformers
M
nvidia
2,323
31
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