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Mamba

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Showing 801–850 of 1058 papers

TitleStatusHype
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement—0
S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting—0
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking—0
Sakuga-42M Dataset: Scaling Up Cartoon Research—0
Samba-ASR: State-Of-The-Art Speech Recognition Leveraging Structured State-Space Models—0
SAMba-UNet: Synergizing SAM2 and Mamba in UNet with Heterogeneous Aggregation for Cardiac MRI Segmentation—0
SAV-SE: Scene-aware Audio-Visual Speech Enhancement with Selective State Space Model—0
Scalable Visual State Space Model with Fractal Scanning—0
Scaling Algorithm Distillation for Continuous Control with Mamba—0
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation—0
Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling—0
Scaling Vision Mamba Across Resolutions via Fractal Traversal—0
Scene-agnostic Pose Regression for Visual Localization—0
scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders—0
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models—0
Segmenting Maxillofacial Structures in CBCT Volumes—0
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation—0
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning—0
Selection Mechanisms for Sequence Modeling using Linear State Space Models—0
Selective State Space Memory for Large Vision-Language Models—0
Selective State Space Model for Monaural Speech Enhancement—0
Selective Structured State Space for Multispectral-fused Small Target Detection—0
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution—0
Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution—0
Self-supervised Learning for Acoustic Few-Shot Classification—0
SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging—0
Sequential-Parallel Duality in Prefix Scannable Models—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
SeRpEnt: Selective Resampling for Expressive State Space Models—0
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model—0
ShadowMamba: State-Space Model with Boundary-Region Selective Scan for Shadow Removal—0
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation—0
Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion—0
SliceMamba with Neural Architecture Search for Medical Image Segmentation—0
Small Vision-Language Models: A Survey on Compact Architectures and Techniques—0
SmartUT: Receive Beamforming for Spectral Coexistence of NGSO Satellite Systems—0
SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion—0
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction—0
SMMT: Siamese Motion Mamba with Self-attention for Thermal Infrared Target Tracking—0
SMR: State Memory Replay for Long Sequence Modeling—0
SNN-Driven Multimodal Human Action Recognition via Event Camera and Skeleton Data Fusion—0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism—0
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs—0
Sparse Deformable Mamba for Hyperspectral Image Classification—0
Sparse Mamba: Introducing Controllability, Observability, And Stability To Structural State Space Models—0
Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention—0
SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot—0
Spatiotemporal Field Generation Based on Hybrid Mamba-Transformer with Physics-informed Fine-tuning—0
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