awesome-vision-mamba-models

Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network

Exploring Enhanced Contextual Information for Video-Level Object Tracking

MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval

Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning

SMamba: Sparse Mamba for Event-based Object Detection

BrainMAP: Learning Multiple Activation Pathways in Brain Networks

GLAM: Global-Local Variation Awareness in Mamba-based World Model

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

2D-CrossScan Mamba: Enhancing State Space Models with Spatially Consistent Multi-Path 2D Information Propagation

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model

MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Mamba Knockout for Unraveling Factual Information Flow

The Hidden Attention of Mamba Models

MambaOut: Do We Really Need Mamba for Vision?

A Survey of Mamba

A Survey on Visual Mamba

Mamba: Linear-Time Sequence Modeling with Selective State Spaces