Introducing MambaVision: Advancing Vision Modeling
Combining Strengths of CNNs and Transformers
Computer vision enables machines to interpret visual information, and MambaVision enhances this capability by integrating CNN-based layers with Transformer blocks. This hybrid model effectively captures both local and global visual contexts, leading to superior performance in various vision tasks.
Practical Solutions and Value
MambaVision offers a flexible and powerful tool for vision applications, achieving state-of-the-art results on datasets like ImageNet-1K, MS COCO, and ADE20K. It outperforms leading models in accuracy and image throughput, showcasing its versatility and efficiency. The model’s innovative design allows for efficient handling of global context, addressing the limitations of existing models.
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