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State Space Models

Papers

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Showing 51–100 of 923 papers

TitleStatusHype
Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State FusionCode2
Quamba: A Post-Training Quantization Recipe for Selective State Space ModelsCode2
MatMamba: A Matryoshka State Space ModelCode2
Mamba in Vision: A Comprehensive Survey of Techniques and ApplicationsCode2
Oscillatory State-Space ModelsCode2
A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and BeyondCode2
PhysMamba: Efficient Remote Physiological Measurement with SlowFast Temporal Difference MambaCode2
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image SegmentationCode2
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image SegmentationCode2
Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image EnhancementCode2
RainMamba: Enhanced Locality Learning with State Space Models for Video DerainingCode2
VSSD: Vision Mamba with Non-Causal State Space DualityCode2
Longhorn: State Space Models are Amortized Online LearnersCode2
GroupMamba: Efficient Group-Based Visual State Space ModelCode2
Hydra: Bidirectional State Space Models Through Generalized Matrix MixersCode2
VFIMamba: Video Frame Interpolation with State Space ModelsCode2
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object DetectionCode2
CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change DetectionCode2
Audio Mamba: Bidirectional State Space Model for Audio Representation LearningCode2
GrootVL: Tree Topology is All You Need in State Space ModelCode2
MambaTS: Improved Selective State Space Models for Long-term Time Series ForecastingCode2
MambaVC: Learned Visual Compression with Selective State SpacesCode2
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space ModelCode2
Efficient Visual State Space Model for Image DeblurringCode2
Mamba in Speech: Towards an Alternative to Self-AttentionCode2
SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space ModelCode2
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelCode2
OverlapMamba: Novel Shift State Space Model for LiDAR-based Place RecognitionCode2
State-Free Inference of State-Space Models: The Transfer Function ApproachCode2
Outlier-robust Kalman Filtering through Generalised BayesCode2
Vision Mamba: A Comprehensive Survey and TaxonomyCode2
Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementCode2
FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State SpaceCode2
CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian EvaluationCode2
S^2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image ClassificationCode2
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space ModelCode2
Vim4Path: Self-Supervised Vision Mamba for Histopathology ImagesCode2
Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech SeparationCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image SegmentationCode2
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space ModelsCode2
Motion Mamba: Efficient and Long Sequence Motion GenerationCode2
Mastering Memory Tasks with World ModelsCode2
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space ModelsCode2
An L-BFGS-B approach for linear and nonlinear system identification under _1 and group-Lasso regularizationCode2
Point Cloud Mamba: Point Cloud Learning via State Space ModelCode2
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language ModelsCode2
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual LearningCode2
Linear Transformers with Learnable Kernel Functions are Better In-Context ModelsCode2
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