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A paper list of some recent Mamba-based CV works.
| Date | Stars |
|---|---|
| 2026-07-24 | 489 |
| 2026-07-25 | 489 |
| 2026-07-28 | 489 |
| 2026-07-30 | 489 |
| 2026-08-06 | 489 |
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# Mamba-in-Computer-Vision Mamba-in-Vision[](https://github.com/sindresorhus/awesome) A paper list of some recent Mamba-based CV works. If you find some ignored papers, please open issues or pull requests. **Last updated: 2026/03/03 ## Mamba - (arXiv 2023.12) Mamba: Linear-Time Sequence Modeling with Selective State Spaces, [[Paper]](https://arxiv.org/pdf/2312.00752.pdf), [[Code]](https://github.com/state-spaces/mamba) ## Survey - (arXiv 2024.05) Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook, [[Paper]](https://arxiv.org/pdf/2505.00630.pdf), [[Project]](https://github.com/BaoBao0926/Awesome-Mamba-in-Remote-Sensing) - (arXiv 2024.04) Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges, [[Paper]](https://arxiv.org/pdf/2404.16112.pdf), [[Project]](https://github.com/badripatro/mamba360) - (arXiv 2024.04) A Survey on Visual Mamba, [[Paper]](https://arxiv.org/pdf/2404.15956.pdf) - (arXiv 2024.04) State Space Model for New-Generation Network Alternative to Transformers: A Survey, [[Paper]](https://arxiv.org/pdf/2404.09516.pdf), [[Project]](https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List) - (arXiv 2024.05) A Survey on Vision Mamba: Models, Applications and Challenges, [[Paper]](https://arxiv.org/pdf/2404.18861.pdf), [[Project]](https://github.com/Ruixxxx/Awesome-Vision-Mamba-Models) - (arXiv 2024.05) Vision Mamba: A Comprehensive Survey and Taxonomy, [[Paper]](https://arxiv.org/pdf/2405.04404.pdf), [[Project]](https://github.com/lx6c78/Vision-Mamba-A-Comprehensive-Survey-and-Taxonomy) - (arXiv 2024.10) A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond, [[Paper]](https://arxiv.org/pdf/2410.02362),[[Code]](https://github.com/Madhavaprasath23/Awesome-Mamba-Papers-On-Medical-Domain) - (arXiv 2024.10) Mamba in Vision: A Comprehensive Survey of Techniques and Applications, [[Paper]](https://arxiv.org/pdf/2410.03105),[[Code]](https://github.com/maklachur/Mamba-in-Computer-Vision) - (arXiv 2025.02) A Survey on Mamba Architecture for Vision Applications, [[Paper]](https://arxiv.org/pdf/2502.07161) ## Recent Papers ### Action - (arXiv 2024.03) HARMamba: Efficient Wearable Sensor Human Activity Recognition Based on Bidirectional Selective SSM, [[Paper]](https://arxiv.org/pdf/2403.20183.pdf) - (arXiv 2024.04) Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos, [[Paper]](https://arxiv.org/pdf/2404.07645.pdf) - (arXiv 2024.09) Mamba Fusion: Learning Actions Through Questioning, [[Paper]](https://arxiv.org/pdf/2409.11513.pdf), [[Code]](https://github.com/Dongzhikang/MambaVL) - (arXiv 2024.10) SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition, [[Paper]](https://arxiv.org/pdf/2410.16746.pdf), [[Code]](https://github.com/Typistchen/SpikMamba) - (arXiv 2024.12) Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence, [[Paper]](https://arxiv.org/pdf/2412.07481.pdf), [[Code]](https://github.com/wenbohuang1002/Manta) - (arXiv 2025.01) MS-Temba: Multi-Scale Temporal Mamba for Efficient Temporal Action Detection, [[Paper]](https://arxiv.org/pdf/2501.06138.pdf), [[Code]](https://github.com/thearkaprava/MS-Temba) - (arXiv 2025.01) MV-GMN: State Space Model for Multi-View Action Recognition, [[Paper]](https://arxiv.org/pdf/2501.13829) - (arXiv 2025.04) RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space Model, [[Paper]](https://arxiv.org/pdf/2504.12039), [[Code]](https://github.com/lab-emi/AIRHAR) - (arXiv 2025.10) RefAtomNet++: Advancing Referring Atomic Video Action Recognition using Semantic Retrieval based Multi-Trajectory Mamba, [[Paper]](https://arxiv.org/pdf/2510.16444), [[Code]](https://github.com
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matched fp:ad93c2a6cc463421, topic:awesome, desc:paper list, readme:paper list
matched fp:ad93c2a6cc463421, topic:computer-vision, readme:computer vision