Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Paper
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2401.09417
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Published
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58
Mamba
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VMamba: Visual State Space Model
Paper • 2401.10166 • Published • 37 -
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Paper • 2401.13560 • Published • 1 -
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Paper • 2402.00789 • Published • 2 -
Vivim: a Video Vision Mamba for Medical Video Object Segmentation
Paper • 2401.14168 • Published • 2 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 22 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 29 -
Graph Mamba: Towards Learning on Graphs with State Space Models
Paper • 2402.08678 • Published • 13 -
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models
Paper • 2403.00818 • Published • 14 -
Diffusion Models Without Attention
Paper • 2311.18257 • Published • 2 -
ZigMa: Zigzag Mamba Diffusion Model
Paper • 2403.13802 • Published • 17 -
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
Paper • 2402.15648 • Published -
LocalMamba: Visual State Space Model with Windowed Selective Scan
Paper • 2403.09338 • Published • 7 -
VideoMamba: State Space Model for Efficient Video Understanding
Paper • 2403.06977 • Published • 27 -
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
Paper • 2403.19888 • Published • 10 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 49 -
Zamba: A Compact 7B SSM Hybrid Model
Paper • 2405.16712 • Published • 20 -
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Paper • 2406.07522 • Published • 36 -
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
Paper • 2405.14174 • Published -
ReMamba: Equip Mamba with Effective Long-Sequence Modeling
Paper • 2408.15496 • Published • 10 -
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
Paper • 2408.08066 • Published