awesome-vision-mamba-models

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence

H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving

Exploring Enhanced Contextual Information for Video-Level Object Tracking

LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba

Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation

SMamba: Sparse Mamba for Event-based Object Detection

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

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

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

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

GG-SSMs: Graph-Generating State Space Models

Mamba-Adaptor: State Space Model Adaptor for Visual Recognition

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

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

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

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

BrainMAP: Learning Multiple Activation Pathways in Brain Networks

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

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