2023-12 |
Mamba |
Carnegie Mellon & Together AI |
Mamba: Linear-Time Sequence Modeling with Selective State Spaces |
[Github] |
2024-01 |
MambaByte |
Cornell University |
MambaByte: Token-free Selective State Space Model |
[Github] |
2024-01 |
Vision Mamba |
Huazhong University of Science and Technology, Horizon Robotics, Beijing Academy of Artificial Intelligence |
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model |
[Github] |
2024-01 |
SegMamba |
The Hong Kong University of Science and Technology & Beijing Academy of Artificial Intelligence |
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation |
[Github] |
2024-01 |
MoE-Mamba |
University of Warsaw |
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts |
[Github] |
2024-01 |
U-Mamba |
Vector Institute for AI & University of Toronto |
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation |
[Github] |
2024-01 |
Vivim |
The Hong Kong University of Science and Technology |
Vivim: a Video Vision Mamba for Video Object Segmentation |
[Github] |
2024-01 |
VMamba |
University of Chinese Academy of Sciences, HUAWEI Inc. & PengCheng Lab |
VMamba: Visual State Space Model |
[Github] |
2024-01 |
MambaTab |
University of Kentucky |
MambaTab: A Simple Yet Effective Approach for Handling Tabular Data |
[Github] |
2024-02 |
Graph-Mamba |
University of Toronto |
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces |
[Github] |
2024-02 |
Swin-UMamba |
Paul C. Lauterbur Research Center for Biomedical Imaging |
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining |
[Github] |
2024-02 |
BlackMamba |
Zyphra |
BlackMamba: Mixture of Experts for State-Space Models |
[Github] |
2024-02 |
MambaFormer |
KRAFTON & Seoul National University |
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks |
[Github] |
2024-02 |
U-shaped Vision Mamba |
Nanjing University |
U-shaped Vision Mamba for Single Image Dehazing |
[Github] |
2024-02 |
MambaMorph |
Beihang University |
MambaMorph: a Mamba-based Backbone with Contrastive Feature Learning for Deformable MR-CT Registration |
[Github] |
2024-02 |
nnMamba |
Shenzhen Research |
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with StateSpace Model |
[Github] |
2024-02 |
Graphs with State Space Models |
|
Graph Mamba: Towards Learning on Graphs with State Space Models |
[Github] |
2024-02 |
Vision Mamba UNet |
Shanghai Jiao Tong University |
VM-UNet: Vision Mamba UNet for Medical Image Segmentation |
[Github] |
2024-02 |
P-Mamba |
Institute of Intelligent Software |
P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation |
[Github] |
2024-02 |
FD-Vision Mamba |
Nanjing University of Science and Technology |
FD-Vision Mamba for Endoscopic Exposure Correction |
[Github] |
2024-02 |
Semi-Mamba-UNet |
University of Oxford |
Semi-Mamba-UNet: Pixel-Level Contrastive Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation |
[Github] |
2024-02 |
Mamba-ND |
University of California, Los Angeles |
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data |
[Github] |
2024-02 |
Mamba-Diffusion |
Kunlun Inc. |
Scalable Diffusion Models with State Space Backbone |
[Github] |
2024-02 |
Hierarchical Mamba |
Carnegie Mellon University & Meta |
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling |
[Github] |
2024-02 |
Res-VMamba |
National Taiwan University |
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning |
[Github] |
2024-02 |
PointMamba |
Huazhong University of Science & Technology |
PointMamba: A Simple State Space Model for Point Cloud Analysis |
[Github] |
2024-02 |
MambaIR |
Tsinghua University & Shenzhen University |
MambaIR: A Simple Baseline for Image Restoration with State-Space Model |
[Github] |
2024-02 |
Pan-Mamba |
Chinese Academy of Sciences |
Pan-Mamba: Effective Pan-Sharpening with State Space Model |
[Github] |
2024-02 |
Weak-Mamba-UNet |
University of Oxford |
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation |
[Github] |
2024-02 |
DenseMamba |
Huawei |
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models |
[Github] |
2024-03 |
Mamba4Rec |
Texas A&M University |
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models |
[Github] |
2024-03 |
MiM-ISTD: Mamba-in-Mamba |
Alibaba Group |
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection |
[Github] |
2024-03 |
Point Could Mamba |
Wuhan University |
Point Could Mamba: Point Cloud Learning via State Space Model |
[Github] |
2024-03 |
Hidden Attention of Mamba |
Tel Aviv University |
The Hidden Attention of Mamba Models |
[Github] |
2024-03 |
MED-MAMBA |
Guangzhou Medical University |
MEDMAMBA: VISION MAMBA FOR MEDICAL IMAGE CLASSIFICATION |
[Github] |
2024-03 |
MamMIL |
Tsinghua University |
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models |
[Github] |
2024-03 |
MambaLithium |
Ji Hua Laboratory |
MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batteries |
[Github] |
2024-03 |
LightM-UNet |
Key Laboratory |
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation |
[Github] |
2024-03 |
MambaMIL |
Hong Kong University |
MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology |
[Github] |
2024-03 |
VideoMamba |
OpenGVLab & Shenzhen Institute |
VideoMamba: State Space Model for Efficient Video Understanding |
[Github] |
2024-03 |
LargeMamba-UNet |
Zhejiang University & University of Illinois Urbana-Champaign |
Large Window-based Mamba UNet for Medical Image Segmentation:Beyond Convolution and Self-attention |
[Github] |
2024-03 |
Motion Mamba |
Monash University & The Australian National University |
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM |
[Github] |
2024-03 |
LocalMamba |
The University of Sydney & University of China |
LocalMamba: Visual State Space Model with Windowed Selective Scan |
[Github] |
2024-03 |
MambaTalk |
Tsinghua University |
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models |
[Github] |
2024-03 |
ClinicalMamba |
Tsinghua University |
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes |
[Github] |
2024-03 |
Video Mamba Suite |
Nanjing University |
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding |
[Github] |
2024-03 |
EfficientVMamba |
The University of Sydney |
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba |
[Github] |
2024-03 |
STG-Mamba |
University of New South Wales |
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model |
[Github] |
2024-03 |
S-D-Mamba |
Northeastern University |
Is Mamba Effective for Time Series Forecasting? |
[Github] |
2024-03 |
Low-shot-[V]-Mamba |
Mila - Quebec AI Institute |
On the low-shot transferability of [V]-Mamba |
[Github] |
2024-03 |
ZigMa |
LMU Munich |
ZigMa: Zigzag Mamba Diffusion Model |
[Github] |
2024-03 |
ProMamba |
Peking University |
ProMamba: Prompt-Mamba for polyp segmentation |
[Github] |
2024-03 |
VL-Mamba |
The University of Adelaide |
VL-Mamba: Exploring State Space Models for Multimodal Learning |
[Github] |
2024-03 |
H-vmunet |
Shanghai University |
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation |
[Github] |
2024-03 |
Cobra |
Westlake University & Zhejiang University |
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference |
[Github] |
2024-03 |
SiMBA |
Microsoft |
SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series |
[Github] |