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MambaOut: Do We Really Need Mamba for Vision?

223
Citations
June 10, 2025
Published Date

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MambaOut: Do We Really Need Mamba for Vision?

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VM-UNet: Vision Mamba UNet for Medical Image Segmentation

In the realm of medical image segmentation, both CNN-based and Transformer-based models have been extensively explored. However, CNNs exhibit limitations in long-range modeling capabilities, wherea...
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MambaIR: A Simple Baseline for Image Restoration with State-Space Model

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What is the core focus of the research titled 'MambaOut: Do We Really Need Mamba for Vision?'?

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Are there open-source GitHub repositories related to MambaOut: Do We Really Need Mamba for Vision??

Yes, open-source projects like Jarvis322/macos-sysdata (See what is really inside macOS System Data and delete it item by item. A free menu bar app that explains every category and shows each command bef...) are actively building upon these concepts.

Which startups are commercializing the technology behind MambaOut: Do We Really Need Mamba for Vision??

Products like ClayHog are bringing this to market. Their focus is: See what AI really says about your brand.

What other academic literature is closely related to 'MambaOut: Do We Really Need Mamba for Vision?'?

Yes, highly correlated activity was mapped. An entry titled 'MambaOut: Do We Really Need Mamba for Vision?' discusses this: No description provided.

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