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Mamba

Papers

Showing 176200 of 1058 papers

TitleStatusHype
FreqMamba: Viewing Mamba from a Frequency Perspective for Image DerainingCode2
A Novel State Space Model with Local Enhancement and State Sharing for Image FusionCode2
MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image FusionCode2
ViM-UNet: Vision Mamba for Biomedical SegmentationCode2
FusionMamba: Efficient Remote Sensing Image Fusion with State Space ModelCode2
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEGCode2
RhythmMamba: Fast Remote Physiological Measurement with Arbitrary Length VideosCode2
Samba: Semantic Segmentation of Remotely Sensed Images with State Space ModelCode2
T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT SegmentationCode2
Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech SeparationCode2
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstructionCode2
Mechanistic Design and Scaling of Hybrid ArchitecturesCode2
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal ForecastingCode2
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
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
Motion Mamba: Efficient and Long Sequence Motion GenerationCode2
MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational PathologyCode2
The pitfalls of next-token predictionCode2
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space ModelsCode2
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target DetectionCode2
Point Cloud Mamba: Point Cloud Learning via State Space ModelCode2
Evaluating Quantized Large Language ModelsCode2
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language ModelsCode2
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