awesome-vision-mamba-models
github.com/ruixxxx/awesome-vision-mamba-models ↗[Official Repo] Visual Mamba: A Survey and New Outlooks
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me image resources from awesome-vision-mamba-models"
Installation instructions →What's inside
Vision Application
- ACM MM 24.10.28Image
VmambaSCI: Dynamic Deep Unfolding Network with Mamba for Compressive Spectral Imaging
- ACM MM 24.10.28Image
Realistic Full-Body Motion Generation from Sparse Tracking with State Space Model
- ACM MM 24.10.28Video
Object-Level Pseudo-3D Lifting for Distance-Aware Tracking
- Arxiv 24.01.09Image
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
- Arxiv 24.01.24 (MICCAI 2024)Image
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
- Arxiv 24.01.25Video
Vivim: a Video Vision Mamba for Medical Video Object Segmentation
Mamba
- Arxiv 23.12.01 (COLM 2024)
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
- Arxiv 24.05.31 (ICML 2024)
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Visual Mamba Backbone Networks
- Arxiv 24.01.17 (ICML 2024)
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
- Arxiv 24.01.18 (NeurIPS 2024 Spotlight)
VMamba: Visual State Space Model
- Arxiv 24.02.08 (ECCV 2024 Oral)
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
- Arxiv 24.03.14 (ECCV 2024 Workshop)
LocalMamba: Visual State Space Model with Windowed Selective Scan
- Arxiv 24.03.15 (AAAI 2025)
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
- Arxiv 24.03.22
SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series
Other Domains
- Arxiv 24.02.13 (KDD 2024)Graph Learning
Graph Mamba: Towards Learning on Graphs with State Space Models
- Arxiv 24.03.12 (IEEE SPL 2024)Audio
Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers
- Arxiv 24.03.14 (ECAI 2024)Time Series
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
- Arxiv 24.03.25 (IROS 2024)Reinforcement Learning
Proprioception Is All You Need: Terrain Classification for Boreal Forests
- Arxiv 24.04.02Audio
SPMamba: State-space model is all you need in speech separation
- Arxiv 24.04.23Time Series
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting
Valuable Insights
- Arxiv 24.03.03
The Hidden Attention of Mamba Models
- Arxiv 24.03.15
On the low-shot transferability of [V]-Mamba?
- Arxiv 24.03.16
Understanding Robustness of Visual State Space Models for Image Classification
- Arxiv 24.05.13
MambaOut: Do We Really Need Mamba for Vision?
- Arxiv 24.05.26
A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models
- Arxiv 24.05.26 (NeurIPS 2024)
Demystify Mamba in Vision: A Linear Attention Perspective
Related Survey
- Arxiv 24.04.15
State Space Model for New-Generation Network Alternative to Transformers: A Survey
- Arxiv 24.04.24
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges
- Arxiv 24.04.24
A Survey on Visual Mamba
- Arxiv 24.05.07
Vision Mamba: A Comprehensive Survey and Taxonomy
- Arxiv 24.06.05
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
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