[NEWS.2024/04/29] Our paper is released!
[NEWS.2024/05/02] 🎉🎉🎉Congratulations to Vision Mamba on being accepted in ICML 2024.
[NEWS.2024/07/06] The updated version of our paper is now available!
📢NOTE: If you have any questions, please don't hesitate to contact us at any of the following emails: cseruixu@ust.hk, syangcw@connect.ust.hk, ywangrm@connect.ust.hk, yu.cai@connect.ust.hk.
Mamba, a novel state space model, has gained recognition across diverse domains for its exceptional performance and efficient computational complexity. By addressing the limitations inherent in traditional visual foundation architectures, Mamba emerges as a promising contender poised to catalyze advancements in the field of computer vision.
⭐ This repository hosts a curated collection of literature associated with Mamba models in computer vision. Feel free to star and fork. For further details, refer to the following paper:
Visual Mamba: A Survey and New Outlooks
Rui Xu, Shu Yang, Yihui Wang, Yu Cai, Bo Du, Hao Chen
SMART Lab, The Hong Kong University of Science and Technology
If you find this repository is useful for you, please cite our paper:
@misc{2024visual_mamba,
title={Visual Mamba: A Survey and New Outlooks},
author={Rui Xu and Shu Yang and Yihui Wang and Yu Cai and Bo Du and Hao Chen},
year={2024},
eprint={2404.18861},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
- Mamba
- Related Survey
- Visual Mamba Backbone Networks
- Vision Application (Modality)
- Valuable Insights
- Other Domains
Date | Paper | Figure | Link | Code |
---|---|---|---|---|
Arxiv 23.12.01 (COLM 2024) | Mamba: Linear-Time Sequence Modeling with Selective State Spaces | Link | Code | |
Arxiv 24.05.31 (ICML 2024) | Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality | Link | Code |
Date | Paper | Link |
---|---|---|
Arxiv 24.04.15 | State Space Model for New-Generation Network Alternative to Transformers: A Survey | Link |
Arxiv 24.04.24 | A Survey on Visual Mamba | Link |
Arxiv 24.04.24 | Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges | Link |
Arxiv 24.05.07 | Vision Mamba: A Comprehensive Survey and Taxonomy | Link |
Arxiv 24.06.05 | Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis | Link |
Arxiv 24.06.24 | Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba | Link |
Arxiv 24.08.02 | A Survey of Mamba | Link |
![image](https://private-user-images.githubusercontent.com/57466105/346766107-4843bead-14cd-4aa6-aecf-af9411defc49.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.udJ1d4gu2WJJo9T6YlBGAqktSgVcjmNEehLQHHk7opQ)
Detailed Performance Comparison
Date | Paper | Figure | Link | Code |
---|---|---|---|---|
Arxiv 24.01.17 (ICML 2024) | Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model | Link | Code | |
Arxiv 24.01.18 | VMamba: Visual State Space Model | Link | Code | |
Arxiv 24.02.08 (ECCV 2024 Oral) | Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data | Link | Code | |
Arxiv 24.03.14 | LocalMamba: Visual State Space Model with Windowed Selective Scan | Link | Code | |
Arxiv 24.03.15 | EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba | Link | Code | |
Arxiv 24.03.22 | SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series | Link | Code | |
Arxiv 24.03.26 | PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition | Link | Code | |
Arxiv 24.05.23 | Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model | Link | Code | |
Arxiv 24.05.23 | Scalable Visual State Space Model with Fractal Scanning | Link | ||
Arxiv 24.05.23 | Mamba-R: Vision Mamba ALSO Needs Registers | Link | Code | |
Arxiv 24.05.29 | Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain | Link | Code | |
Arxiv 24.06.11 | Autoregressive Pretraining with Mamba in Vision | Link | Code | |
Arxiv 24.07.10 | MambaVision: A Hybrid Mamba-Transformer Vision Backbone | Link | Code | |
Arxiv 24.07.18 | GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model | Link | Code | |
Arxiv 24.07.26 | VSSD: Vision Mamba with Non-Causal State Space Duality | Link | Code | |
Arxiv 24.08.30 | Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training | Link | Code |
Date | Paper | Figure | Link | Code | Task |
---|---|---|---|---|---|
Arxiv 24.02.06 | U-shaped Vision Mamba for Single Image Dehazing | Link | Code | Dehazing/Low Light Enhancement/Deraining | |
Arxiv 24.02.08 | Scalable Diffusion Models with State Space Backbone | Link | Code | Image Generation | |
Arxiv 24.02.23 (ECCV 2024) | MambaIR: A Simple Baseline for Image Restoration with State-Space Model | Link | Code | Super-resolution/Denoising | |
Arxiv 24.03.04 | MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection | Link | Code | Infrared Image Segmentation | |
Arxiv 24.03.13 | Activating Wider Areas in Image Super-Resolution | Link | Super-resolution | ||
Arxiv 24.03.18 | VmambaIR: Visual State Space Model for Image Restoration | Link | Code | Image Restoration | |
Arxiv 24.03.20 (ECCV 2024) | ZigMa: A DiT-style Zigzag Mamba Diffusion Model | Link | Code | Generation | |
Arxiv 24.03.27 | Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction | Link | 3D Reconstruction | ||
Arxiv 24.03.29 | Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring | Link | Image Deblurring | ||
Arxiv 24.04.04 | InsectMamba: Insect Pest Classification with State Space Model | Link | Image Classification | ||
Arxiv 24.04.09 | MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection | Link | code | Anomaly Detection | |
Arxiv 24.04.11 (ACM MM 2024) | DGMamba: Domain Generalization via Generalized State Space Model | Link | Code | Domain Generalization | |
Arxiv 24.04.15 (ACM MM 2024) | FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining | Link | Deraining | ||
Arxiv 24.04.17 | CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration | Link | Denoising/Deblurring | ||
Arxiv 24.04.22 | MambaUIE: Unraveling the Ocean's Secrets with Only 2.8 FLOPs | Link | Code | Image Enhancement | |
Arxiv 24.05.03 | FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space | Link | Code | Emotion recognition & Facial Expression Recognition & Detection | |
Arxiv 24.05.05 | DVMSR: Distillated Vision Mamba for Efficient Super-Resolution | Link | Code | Super-Resolution | |
Arxiv 24.05.05 | SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion | Link | Motion Style Transfer | ||
Arxiv 24.05.06 | Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement | Link | Code | Image Enhancement | |
Arxiv 24.05.07 | VMambaCC: A Visual State Space Model for Crowd Counting | Link | Crowd Counting | ||
Arxiv 24.05.14 | WaterMamba: Visual State Space Model for Underwater Image Enhancement | Link | Image Enhancement | ||
Arxiv 24.05.16 | IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model | Link | Code | Infrared Image Super-resolution | |
Arxiv 24.05.23 | Efficient Visual State Space Model for Image Deblurring | Link | Code | Image Deblurring | |
Arxiv 24.05.23 | DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis | Link | Code | Generation | |
Arxiv 24.05.25 | Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation | Link | Generation | ||
Arxiv 24.05.26 | Image Deraining with Frequency-Enhanced State Space Model | Link | Image Deraining | ||
Arxiv 24.05.28 | MambaVC: Learned Visual Compression with Selective State Spaces | Link | Code | Visual Compression | |
Arxiv 24.05.29 | FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining | Link | Image Deraining | ||
Arxiv 24.06.03 | LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network | Link | Low-Light Enhancement | ||
Arxiv 24.06.06 | MambaDepth: Enhancing Long-range Dependency for Self-Supervised Fine-Structured Monocular Depth Estimation | Link | Depth Estimation | ||
Arxiv 24.06.09 | Mamba YOLO: SSMs-Based YOLO For Object Detection | Link | Code | Object Detection | |
Arxiv 24.06.12 | PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement | Link | Code | Image Enhancement | |
Arxiv 24.06.18 | LFMamba: Light Field Image Super-Resolution with State Space Model | Link | Code | Super-Resolution | |
Arxiv 24.06.13 | Q-Mamba: On First Exploration of Vision Mamba for Image Quality Assessment | Link | Image Quality Assessment | ||
Arxiv 24.06.23 | Mamba-based Light Field Super-Resolution with Efficient Subspace Scanning | Link | Super-resolution | ||
Arxiv 24.06.24 | Vision Mamba-based autonomous crack segmentation on concrete, asphalt, and masonry surfaces | Link | Crack Segmentation | ||
Arxiv 24.06.25 | SUM: Saliency Unification through Mamba for Visual Attention Modeling | Link | Code | Visual Saliency Prediction | |
Arxiv 24.07.02 (ECCV 2024) | MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders | Link | Code | Multi-Task Dense Scene Understanding | |
Arxiv 24.07.08 | Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning | Link | Code | Few-Shot Class-Incremental Learning | |
Arxiv 24.07.11 (ICML 2024 Workshop) | Parallelizing Autoregressive Generation with Variational State Space Models | Link | Generation | ||
Arxiv 24.07.12 | Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba | Link | Code | 3D Hand Reconstruction | |
Arxiv 24.07.16 | PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer | Link | Image Classification/Object Detection/Point Cloud Object Detection | ||
Arxiv 24.07.22 | Mamba meets crack segmentation | Link | Code | Segmentation | |
Arxiv 24.07.23 | MxT: Mamba x Transformer for Image Inpainting | Link | Image Inpainting | ||
Arxiv 24.07.25 | ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and Refinement | Link | Code | Anomaly Localization | |
Arxiv 24.07.27 | Mamba-UIE: Enhancing Underwater Images with Physical Model Constraint | Link | Code | Image Enhancement | |
Arxiv 24.07.27 | Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration | Link | Code | Image Registration | |
Arxiv 24.08.01 | MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection | Link | Monocular 3D Object Detection | ||
Arxiv 24.08.02 (ACM MM 2024) | Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement | Link | Code | Image Enhancement | |
Arxiv 24.08.04 | DeMansia: Mamba Never Forgets Any Tokens | Link | Code | Classification | |
Arxiv 24.08.05 | LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba | Link | Generation | ||
Arxiv 24.08.06 | Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network | Link | Human Pose Estimation | ||
Arxiv 24.08.07 | PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model | Link | Human Pose Estimation | ||
Arxiv 24.08.11 | Neural Architecture Search based Global-local Vision Mamba for Palm-Vein Recognition | Link | Palm-Vein Recognition | ||
Arxiv 24.08.16 | QMambaBSR: Burst Image Super-Resolution with Query State Space Model | Link | Super-Resolution | ||
Arxiv 24.08.19 | Multi-Scale Representation Learning for Image Restoration with State-Space Model | Link | Image Restoration | ||
Arxiv 24.08.21 | MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering | Link | Code | Occupancy Prediction | |
Arxiv 24.08.21 | MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs | Link | Code | Super-resolution | |
Arxiv 24.08.22 | Scalable Autoregressive Image Generation with Mamba | Link | Code | Generation | |
Arxiv 24.08.23 | O-Mamba: O-shape State-Space Model for Underwater Image Enhancement | Link | Code | Image Enhancement | |
Arxiv 24.08.27 | ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning | Link | Code | Zero-Shot Learning | |
Arxiv 24.08.27 | MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders | Link | Code | Multi-Task Dense Scene Understanding | |
Arxiv 24.08.31 | A Hybrid Transformer-Mamba Network for Single Image Deraining | Link | Code | Deraining | |
Arxiv 24.09.02 | DS MYOLO: A Reliable Object Detector Based on SSMs for Driving Scenarios | Link | Object Detection | ||
Neurocomputing 2024 | MambaTSR: You only need 90k parameters for traffic sign recognition | Link | Code | Traffic Sign Recognition | |
ACM MM 2024 | Realistic Full-Body Motion Generation from Sparse Tracking with State Space Model | Link | Motion Generation |
Date | Paper | Figure | Link | Code | Task |
---|---|---|---|---|---|
Arxiv 24.03.28 (GRSL 2024) | RSMamba: Remote Sensing Image Classification with State Space Model | Link | Code | Remote Sensing Images Classification | |
Arxiv 24.04.02 | Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model | Link | Code | Semantic Segmentation | |
Arxiv 24.04.03 (GRSL 2024) | RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation | Link | Code | Semantic Segmentation | |
Arxiv 24.04.03 | RS-Mamba for Large Remote Sensing Image Dense Prediction | Link | Code | Semantic Segmentation/Change Detection | |
Arxiv 24.04.04 | ChangeMamba: Remote Sensing Change Detection with Spatio-Temporal State Space Model | Link | Code | Change Detection/Building Damage Assessment | |
Arxiv 24.04.12 | SpectralMamba: Efficient Mamba for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.04.15 | HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising | Link | Hyperspectral Denoising | ||
Arxiv 24.04.28 | S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.04.29 | Spectral-Spatial Mamba for Hyperspectral Image Classification | Link | Hyperspectral Image Classification | ||
Arxiv 24.05.02 | SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients | Link | Code | Detection | |
Arxiv 24.05.02 (TGRS 2024) | SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising | Link | Code | Hyperspectral Image Denoising | |
Arxiv 24.05.08 | Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution | Link | Super Resolution | ||
Arxiv 24.05.13 | GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images | Link | Code | Spectral Reconstruction from RGB Images | |
Arxiv 24.05.14 | Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study | Link | Semantic Segmentation | ||
Arxiv 24.05.16 | RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing | Link | Dehazing | ||
Arxiv 24.05.17 | CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation | Link | Code | Semantic Segmentation | |
Arxiv 24.05.20 | Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.05.21 | 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification | Link | Hyperspectral Image Classification | ||
Arxiv 24.06.01 | Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging | Link | Code | Spectral Compressive Imaging | |
Arxiv 24.06.06 | CDMamba: Remote Sensing Image Change Detection with Mamba | Link | Code | Change Detection | |
Arxiv 24.06.09 | HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model | Link | Code | Dehazing | |
Arxiv 24.06.11 | DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification | Link | Hyperspectral Image Classification | ||
Arxiv 24.06.16 | PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery | Link | Code | Semantic Segmentation | |
Arxiv 24.07.08 | A Mamba-based Siamese Network for Remote Sensing Change Detection | Link | Code | Change Detection | |
Arxiv 24.07.09 | HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space Model | Link | Code | Hyperspectral Target Detection | |
Arxiv 24.07.11 | DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing | Link | Code | Oriented Object Detection | |
Arxiv 24.07.11 | GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.08.01 | Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement | Link | Snapshot Compressive Imaging | ||
Arxiv 24.08.02 | Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.08.02 | WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.08.02 | Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.08.21 | UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images | Link | Code | Semantic Segmentation | |
Arxiv 24.08.26 | MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification | Link | Code | Hyperspectral Image Classification | |
Arxiv 24.09.05 | UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing Images | Link | Segmentation | ||
TGRS 2024 | MambaHSI: Spatial–Spectral Mamba for Hyperspectral Image Classification | Link | Code | Hyperspectral Image Classification | |
GRSL 2024 | MambaFormerSR: A Lightweight model for Remote-Sensing Image Super-Resolution | Link | Super-Resolution | ||
ACM MM 2024 | VmambaSCI: Dynamic Deep Unfolding Network with Mamba for Compressive Spectral Imaging | Link | Compressive Spectral Imaging |
Date | Paper | Figure | Link | Code | Task |
---|---|---|---|---|---|
Arxiv 24.01.09 | U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation | Link | Code | 2D Medical Segmentation/ 3D Medical Segmentation |
|
Arxiv 24.01.24 (MICCAI 2024) | SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation | Link | Code | 3D Medical Segmentation | |
Arxiv 24.02.04 | VM-UNet: Vision Mamba UNet for Medical Image Segmentation | Link | Code | 2D Medical Segmentation | |
Arxiv 24.02.05 | nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model | Link | Code | 3D Medical Segmentation | |
Arxiv 24.02.05 (MICCAI 2024) | Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining | Link | Code | 2D Medical Segmentation | |
Arxiv 24.02.07 | Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation | Link | Code | 2D Medical Segmentation | |
Arxiv 24.02.09 | FD-Vision Mamba for Endoscopic Exposure Correction | Link | Code | Endoscopic Exposure Correction | |
Arxiv 24.02.11 (KBS 2024) | Semi-Mamba-UNet: Pixel-Level Contrastive Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation | Link | Code | 2D Medical Segmentation | |
Arxiv 24.02.13 | P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation | Link | 2D Medical Segmentation | ||
Arxiv 24.02.16 | Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation | Link | Code | 2D Medical Segmentation | |
Arxiv 24.02.28 | MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation | Link | Code | Medical Image Reconstruction/Uncertainty Estimation | |
Arxiv 24.03.06 | MedMamba: Vision Mamba for Medical Image Classification | Link | Code | 2D Medical Classification | |
Arxiv 24.03.08 | LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation | Link | Code | 2D Medical Segmentation/ 3D Medical Segmentation |
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Arxiv 24.03.08 | MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models | Link | Cancer Subtyping | ||
Arxiv 24.03.11 (MICCAI 2024) | MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology | Link | Code | Cancer Subtyping/ Survival Prediction |
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Arxiv 24.03.12 | Large Window-based Mamba UNet for Medical Image Segmentation: Beyond Convolution and Self-attention | Link | Code | 2D Medical Segmentation/ 3D Medical Segmentation |
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Arxiv 24.03.12 (MICCAI 2024) | LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation | Link | Code | Medical Image Segmentation | |
Arxiv 24.03.13 | MD-Dose: A Diffusion Model based on the Mamba for Radiotherapy Dose Prediction | Link | Code | Radiation Dose Prediction (Segmentation) | |
Arxiv 24.03.14 (ISBRA 2024) | VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation | Link | Code | 2D Medical Segmentation | |
Arxiv 24.03.20 | H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation | Link | Code | 2D Medical Segmentation | |
Arxiv 24.03.20 (MICCAI 2024) | ProMamba: Prompt-Mamba for polyp segmentation | Link | 2D Medical Segmentation | ||
Arxiv 24.03.25 | CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification | Link | Alzheimer’s disease Classification (CT/MRI) | ||
Arxiv 24.03.26 | Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion | Link | 2D Medical Segmentation (2D MRI) | ||
Arxiv 24.03.26 | Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models | Link | Image Resotration | ||
Arxiv 24.03.26 | Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation | Link | 2D Medical Segmentation | ||
Arxiv 24.03.29 | UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation | Link | Code | 2D Medical Segmentation | |
Arxiv 24.04.01 | T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation | Link | Code | 3D Medical Segmentation (Tooth) | |
Arxiv 24.04.10 | ViM-UNet: Vision Mamba for Biomedical Segmentation | Link | Code | 2D Medical Segmentation (Cell/Neurite) | |
Arxiv 24.04.19 (CVPR 2024 Workshop) | Vim4Path: Self-Supervised Vision Mamba for Histopathology Images | Link | Code | Cancer Subtyping | |
Arxiv 24.04.26 | Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment | Link | Universal Lesion Segmentation | ||
Arxiv 24.04.26 | Sparse Reconstruction of Optical Doppler Tomography Based on State Space Model | Link | ODT Sparse Reconstruction | ||
Arxiv 24.05.05 | AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation | Link | Code | Skin Lesion Segmentation | |
Arxiv 24.05.08 | HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation | Link | 2D Medical Segmentation | ||
Arxiv 24.05.09 | VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis | Link | Medical Image Generation | ||
Arxiv 24.05.24 | MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation | Link | Code | Medical Image Segmentation | |
Arxiv 24.05.25 | UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation | Link | Medical Image Segmentation | ||
Arxiv 24.05.27 | TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction | Link | Code | Pre-training/Medical Image Segmentation | |
Arxiv 24.05.27 | Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba | Link | Medical Image Reconstruction | ||
Arxiv 24.05.28 (MICCAI 2024 Oral) | Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba | Link | Code | CVD Risk Prediction | |
Arxiv 24.06.01 | SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation | Link | Medical Image Segmentation | ||
Arxiv 24.06.05 | Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images | Link | Code | Cancer Subtyping/Survival Prediction | |
Arxiv 24.06.09 | Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans | Link | 3D Medical Classification | ||
Arxiv 24.06.09 | Convolution and Attention-Free Mamba-based Cardiac Image Segmentation | Link | Code | Medical Image Segmentation | |
Arxiv 24.06.10 | MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision Mamba | Link | Code | Medical Image Segmentation | |
Arxiv 24.06.12 | On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models | Link | Code | Medical Image Segmentation | |
Arxiv 24.06.22 | Soft Masked Mamba Diffusion Model for CT to MRI Conversion | Link | Code | CT to MRI Conversion | |
Arxiv 24.07.04 | Vision Mamba for Classification of Breast Ultrasound Images | Link | Classification | ||
Arxiv 24.07.08 (MICCAI 2024) | Deform-Mamba Network for MRI Super-Resolution | Link | Super-resolution | ||
Arxiv 24.07.08 | Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution | Link | Super-resolution | ||
Arxiv 24.07.11 | SR-Mamba: Effective Surgical Phase Recognition with State Space Model | Link | Code | Surgical Phase Recognition | |
Arxiv 24.07.11 | SliceMamba for Medical Image Segmentation | Link | Medical Image Segmentation | ||
Arxiv 24.08.14 | Costal Cartilage Segmentation with Topology Guided Deformable Mamba: Method and Benchmark | Link | Medical Image Segmentation | ||
Arxiv 24.08.15 | MambaMIM: Pre-training Mamba with State Space Token-interpolation | Link | Code | Medical Image Segmentation | |
Arxiv 24.08.21 | HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation | Link | Code | Medical Image Segmentation | |
Arxiv 24.08.23 | Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis | Link | Medical Image Classification and Regression | ||
Arxiv 24.08.25 | MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation | Link | Code | Medical Image Segmentation | |
Arxiv 24.08.26 (MICCAI 2024) | ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation | Link | Medical Image Segmentation | ||
Arxiv 24.08.26 | LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation | Link | Code | Medical Image Segmentation | |
Arxiv 24.08.28 | SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors | Link | Medical Image Segmentation | ||
KDD 2024 Workshop | State Space Model-based Classification of Major Depressive Disorder Across Multiple Imaging Sites | Link | Medical Image Classification | ||
Scientific Reports 2024 | A mixed Mamba U-net for prostate segmentation in MR images | Link | Medical Image Segmentation | ||
MICCAI 2024 | EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation | Medical Image Segmentation | |||
MICCAI 2024 | PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images | Medical Image Segmentation | |||
MICCAI 2024 | Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images | Medical Image Segmentation | |||
MICCAI 2024 | Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment | Bone Age Assessment |
Date | Paper | Figure | Link | Code | Task |
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Arxiv 24.01.25 | Vivim: a Video Vision Mamba for Medical Video Object Segmentation | Link | Code | Medical Video Segmentation | |
Arxiv 24.03.11 (ECCV 2024) | VideoMamba: State Space Model for Efficient Video Understanding | Link | Code | Action Recognition/Video Understanding/Text-to-video Retrieval | |
Arxiv 24.03.12 | SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces | Link | Code | Video Generation | |
Arxiv 24.03.14 | Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding | Link | Code | Action Recognition/Action Localization/... | |
Arxiv 24.04.09 | RhythmMamba: Fast Remote Physiological Measurement with Arbitrary Length Videos | Link | Code | Remote photoplethysmography Prediction | |
Arxiv 24.04.11 | Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos | Link | Skeleton Action Recognition | ||
Arxiv 24.05.05 | Matten: Video Generation with Mamba-Attention | Link | Video Generation | ||
Arxiv 24.05.30 | DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark | Link | Code | AI-Generated Video Detection | |
Arxiv 24.06.18 | Slot State Space Models | Link | Object-centric Video Understanding/3D Visual Reasoning/Video Prediction | ||
Arxiv 24.07.02 | VideoMambaPro: A Leap Forward for Mamba in Video Understanding | Link | Code | Video Understanding | |
Arxiv 24.07.03 | BVI-RLV: A Fully Registered Dataset and Benchmarks for Low-Light Video Enhancement | Link | Code | Low-Light Video Enhancement | |
Arxiv 24.07.04 | QueryMamba: A Mamba-Based Encoder-Decoder Architecture with a Statistical Verb-Noun Interaction Module for Video Action Forecasting @ Ego4D Long-Term Action Anticipation Challenge 2024 | Link | Video Action Forecasting | ||
Arxiv 24.07.11 (ECCV 2024) | VideoMamba: Spatio-Temporal Selective State Space Model | Link | Code | Action Recognition | |
Arxiv 24.07.25 | Harnessing Temporal Causality for Advanced Temporal Action Detection | Link | Code | Moment Queries/Action Recognition/Action Detection/Audio-Based Interaction Detection | |
Arxiv 24.08.15 | MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking | Link | RGB-T Tracking | ||
Arxiv 24.08.17 (ACM MM 2024 Oral) | MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model | Link | Multiple Object Tracking | ||
Arxiv 24.08.20 | DemMamba: Alignment-free Raw Video Demoireing with Frequency-assisted Spatio-Temporal Mamba | Link | Video Demoireing | ||
Arxiv 24.08.31 | TrackSSM: A General Motion Predictor by State-Space Model | Link | Motion Prediction | ||
Arxiv 24.09.02 | FMRFT: Fusion Mamba and DETR for Query Time Sequence Intersection Fish Tracking | Link | Fish Tracking | ||
Arxiv 24.09.04 | MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos | Link | Code | Hand Trajectory Prediction | |
CVPR 2024 Workshop | VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting | Link | Code | Spatiotemporal Forecasting | |
ACM MM 2024 | Object-Level Pseudo-3D Lifting for Distance-Aware Tracking | Link | Tracking | ||
ACM MM 2024 (Oral) | RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining | Link | Code | Deraining |
Date | Paper | Figure | Link | Code | Task |
---|---|---|---|---|---|
Arxiv 24.02.16 | PointMamba: A Simple State Space Model for Point Cloud Analysis | Link | Code | Classification, Part Segmentation | |
Arxiv 24.03.01 | Point Cloud Mamba: Point Cloud Learning via State Space Model | Link | Code | Classification, Part Segmentation, Semantic Segmentation | |
Arxiv 24.03.11 | Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy | Link | Code | Classification, Semantic Segmentation | |
Arxiv 24.04.08 | 3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering | Link | Point Cloud Filtering | ||
Arxiv 24.04.10 | 3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion | Link | Point Cloud Completion | ||
Arxiv 24.04.23 (ACM MM 2024) | Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model | Link | Classification, Part Segmentation | ||
Arxiv 24.05.09 | Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba | Link | Classification, Regression | ||
Arxiv 24.05.13 | OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition | Link | Code | LiDAR Place Recognition | |
Arxiv 24.05.23 | MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models | Link | Point Cloud Video Understanding | ||
Arxiv 24.05.24 | PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis | Link | Code | Classification, Part Segmentation | |
Arxiv 24.05.27 | LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling | Link | Classification, Part Segmentation, Object Detection | ||
Arxiv 24.06.07 | Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs | Link | Code | Generation | |
Arxiv 24.06.10 | PointABM: Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis | Link | Classification | ||
Arxiv 24.06.15 | Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection | Link | Code | Object Detection | |
Arxiv 24.06.25 | Mamba24/8D: Enhancing Global Interaction in Point Clouds via State Space Model | Link | Semantic Segmentation | ||
Arxiv 24.07.15 | Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model | Link | Semantic Segmentation, Instance Segmentation | ||
Arxiv 24.07.25 | LION: Linear Group RNN for 3D Object Detection in Point Clouds | Link | Code | Object Detection | |
Arxiv 24.08.19 | Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms | Link | Code | Action Recognition | |
Arxiv 24.08.20 | MambaEVT: Event Stream based Visual Object Tracking using State Space Model | Link | Code | Object Tracking | |
Arxiv 24.08.20 | MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation | Link | Code | Object Segmentation | |
Arxiv 24.08.20 | OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model | Link | Code | Semantic Prediction/Scene Completion | |
ACM MM 2024 | MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model | Link | Code | Object Segmentation |
Date | Paper | Figure | Link | Code | Task | Modality |
---|---|---|---|---|---|---|
Arxiv 24.01.25 | MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration | Link | Code | Registration | MRI & CT | |
Arxiv 24.02.19 | Pan-Mamba: Effective pan-sharpening with State Space Model | Link | Code | Pansharpening | HISR Images & LRMS Images | |
Arxiv 24.03.07 | InstructGIE: Towards Generalizable Image Editing | Link | Image Editing | Image & Text | ||
Arxiv 24.03.12 (ECCV 2024) | Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM | Link | Code | Text-to-Motion Generation | Motion & Text | |
Arxiv 24.03.20 | VL-Mamba: Exploring State Space Models for Multimodal Learning | Link | Code | MLLM tasks | Image & Text | |
Arxiv 24.03.21 | Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference | Link | Code | MLLM tasks | Image & Text | |
Arxiv 24.03.26 (ECCV 2024) | ReMamber: Referring Image Segmentation with Mamba Twister | Link | Referring Image Segmentation | Image & Text | ||
Arxiv 24.04.01 | SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding | Link | Temporal Video Grounding | Video & Text | ||
Arxiv 24.04.05 | Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation | Link | Code | Semantic Segmentation | RGB Images & Depth/Thermal Images | |
Arxiv 24.04.07 | VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module | Link | Code | Registration | MRI & CT | |
Arxiv 24.04.09 | Deep Mamba Multi-modal Learning | Link | Image & Text | Multimedia Retrieval | ||
Arxiv 24.04.11 | SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction | Link | Cancer Subtyping/Survival Prediction | WSIs & Gene | ||
Arxiv 24.04.11 | FusionMamba: Efficient Image Fusion with State Space Model | Link | Pansharpening | HISR Images & LRMS Images | ||
Arxiv 24.04.12 | MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion | Link | Multi-modality Image Fusion | RGB & Thermal Images, MRI & CT/PET/SPECT | ||
Arxiv 24.04.14 | Fusion-Mamba for Cross-modality Object Detection | Link | Visible-infrared Images Fusion | RGB Images & Infrared Images | ||
Arxiv 24.04.14 | A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion | Link | Pansharpening | HISR Images & LRMS Images | ||
Arxiv 24.04.15 | FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba | Link | Code | Image Fusion | RGB & Infrared Images, MRI & CT/PET/SPECT, PC & GFP | |
Arxiv 24.04.17 | Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion | Link | Temporal Grounding | Motion & Text | ||
Arxiv 24.04.25 | CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions | Link | Code | Visible-infrared Images Fusion | RGB Images & Infrared Images | |
Arxiv 24.04.27 | Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion | Link | Multi-modal Emotion Recognition | Text & Video & Audio | ||
Arxiv 24.04.28 | Mamba-FETrack: Frame-Event Tracking via State Space Model | Link | Code | RGB-Event Tracking | RGB Frames & Event | |
Arxiv 24.04.29 (GRSL 2024) | RSCaMa: Remote Sensing Image Change Captioning with State Space Model | Link | Code | Image Captioning | Remote Sensing Image & Text | |
Arxiv 24.04.30 | CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation | Link | Code | OOD | Image & Text | |
Arxiv 24.05.22 | I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling | Link | Code | Medical Image Generation | MRI/CT | |
Arxiv 24.05.24 | Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models | Link | Code | Large Language and Vision Model | Image & Text (Qestion/Rationale) | |
Arxiv 24.05.29 | Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model | Link | multi-modal sentiment analysis | Text & Video & Audio | ||
Arxiv 24.05.31 | S4Fusion: Saliency-aware Selective State Space Model for Infrared Visible Image Fusion | Link | Image Fusion | RGB Images & Infrared Images | ||
Arxiv 24.06.02 | MGI: Multimodal Contrastive Pre-training of Genomic and Medical Imaging | Link | Multimodal Contrastive Pre-training | Medical Image & Genomic | ||
Arxiv 24.06.03 | Dimba: Transformer-Mamba Diffusion Models | Link | Code | Text to Image Generation | Image & Text | |
Arxiv 24.06.06 | RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation | Link | Code | Robot Reasoning and Manipulation | Image & Text | |
Arxiv 24.06.10 | MVGamba: Unify 3D Content Generation as State Space Sequence Modeling | Link | 3D Generation | Image & Text | ||
Arxiv 24.07.02 | MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion | Link | Image Fusion | Multi-Contrast MRI | ||
Arxiv 24.07.14 | InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation | Link | Code | Text-to-Motion Generation | Motion & Text | |
Arxiv 24.07.15 | An Empirical Study of Mamba-based Pedestrian Attribute Recognition | Link | Code | Pedestrian Attribute Recognition | Image & Text | |
Arxiv 24.07.15 | OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting | Link | 360-degree Image Out-painting | Image & Text | ||
Arxiv 24.07.22 | GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI | Link | Code | AD Progression Assessment | MRI & PET | |
Arxiv 24.07.29 | ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2 | Link | Code | MLLM Tasks | Image & Text | |
Arxiv 24.07.29 (ACM MM 2024) | MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion | Link | Co-Speech Gesture Generation | Motion & Audio | ||
Arxiv 24.08.01 | DiM-Gesture: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2 framework | Link | Code | Co-Speech Gesture Generation | Motion & Audio | |
Arxiv 24.08.02 | MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection | Link | Code | Pedestrian Detection | RGB & Thermal Images | |
Arxiv 24.08.02 | PhysMamba: Leveraging Dual-Stream Cross-Attention SSD for Remote Physiological Measurement | Link | Remote Physiological Measurement | Video & rPPG | ||
Arxiv 24.08.03 | JambaTalk: Speech-Driven 3D Talking Head Generation Based on Hybrid Transformer-Mamba Language Model | Link | Motion & Audio | |||
Arxiv 24.08.07 | DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba | Link | Driver Motion Plan | Image & Text | ||
Arxiv 24.08.15 | ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba | Link | Code | NIR-to-RGB Translation | NIR Images & RGB Images | |
Arxiv 24.08.16 | RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba | Link | RGBT Tracking | RGB Videos & TIR Videos | ||
Arxiv 24.08.19 | R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation | Link | Code | Medical Report Generation | Image & Text | |
Arxiv 24.08.19 | OccMamba: Semantic Occupancy Prediction with State Space Models | Link | Semantic Occupancy Prediction | LiDAR Points & RGB Images | ||
Arxiv 24.08.20 | Event Stream based Sign Language Translation: A High-Definition Benchmark Dataset and A New Algorithm | Link | Code | Event Stream based Sign Language Translation | Event & Text | |
Arxiv 24.08.20 | MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval | Link | Code | Text-video Retrieval | Video & Text | |
Arxiv 24.08.22 | Adapt CLIP as Aggregation Instructor for Image Dehazing | Link | Dehazing | Image & Text | ||
Arxiv 24.08.27 | DualKanbaFormer: Kolmogorov-Arnold Networks and State Space Model DualKanbaFormer: Kolmogorov-Arnold Networks and State Space Model Transformer for Multimodal Aspect-based Sentiment Analysis | Link | Multi-modal Sentiment Analysis | Image & Text | ||
Arxiv 24.08.28 | MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms | Link | Code | Cross-Modal Place Recognition | Point Cloud & Text | |
HAL 24.09.02 | PixelBytes: Catching Unified Embedding for Multimodal Generation | Link | Code | Multi-Modal Generation | Image & Text | |
Arxiv 24.09.03 | Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion | Link | Multi-Modality Image Fusion | HISR Images & LRMS Images, MRI & CT/PET/SPECT | ||
Arxiv 24.09.04 | LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture | Link | Code | MLLM Tasks | Image & Text | |
Arxiv 24.09.05 | Why mamba is effective? Exploit Linear Transformer-Mamba Network for Multi-Modality Image Fusion | Link | Multi-Modality Image Fusion | RGB & Thermal Images, MRI & CT/PET/SPECT | ||
TGRS 2024 | Mask-Guided Mamba Fusion for Drone-based Visible-Infrared Vehicle Detection | Link | Cross-Modal Detection | RGB Images & Infrared Image |
Date | Paper | Figure | Link | Code | Task |
---|---|---|---|---|---|
Arxiv 24.02.24 | Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning | Link | Code | Food Classification | |
Arxiv 24.03.08 | Motion-Guided Dual-Camera Tracker for Low-Cost Skill Evaluation of Gastric Endoscopy | Link | Code | Endoscope Tip Tracking | |
Arxiv 24.03.14 | MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models | Link | Gesture Synthesis | ||
Arxiv 24.03.22 | Music to Dance as Language Translation using Sequence Models | Link | Code | Music-to-Dance |
Date | Paper | Link |
---|---|---|
Arxiv 24.03.03 | The Hidden Attention of Mamba Models | Link |
Arxiv 24.03.15 | On the low-shot transferability of [V]-Mamba? | Link |
Arxiv 24.03.16 | Understanding Robustness of Visual State Space Models for Image Classification | Link |
Arxiv 24.05.13 | MambaOut: Do We Really Need Mamba for Vision? | Link |
Arxiv 24.05.26 | Demystify Mamba in Vision: A Linear Attention Perspective | Link |
Arxiv 24.05.26 | A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models | Link |
Arxiv 24.06.11 | MambaLRP: Explaining Selective State Space Sequence Models | Link |
Arxiv 24.06.13 | Towards Evaluating the Robustness of Visual State Space Models | Link |
Date | Paper | Figure | Link | Code |
---|---|---|---|---|
Arxiv 24.05.20 | Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? | Link | ||
Arxiv 24.05.31 | Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling | Link | ||
Arxiv 24.06.04 | Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning | Link | Code | |
Arxiv 24.06.08 | Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL | Link | ||
Arxiv 24.06.12 | MaIL: Improving Imitation Learning with Mamba | Link | ||
Arxiv 24.06.21 | KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty | Link | ||
Arxiv 24.08.05 | Context-aware Mamba-based Reinforcement Learning for social robot navigation | Link | ||
Arxiv 24.08.20 | Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba | Link | Code | |
Arxiv 24.09.04 | Mamba as a motion encoder for robotic imitation learning | Link |
Date | Paper | Figure | Link | Code |
---|---|---|---|---|
Arxiv 24.02.13 (KDD 2024) | Graph Mamba: Towards Learning on Graphs with State Space Models | Link | Code | |
Arxiv 24.05.22 | HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model | Link | ||
Arxiv 24.08.08 | DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models | Link | ||
Arxiv 24.08.13 | DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs | Link | ||
KDD 2024 Workshop | Identifying Subphenotypes for Sepsis with Acute Kidney Injury via Multimodal Graph State Space Models | Link |
Date | Paper | Figure | Link | Code |
---|---|---|---|---|
Arxiv 24.04.02 | SPMamba: State-space model is all you need in speech separation | Link | ||
Arxiv 24.05.02 | TRAMBA: A Hybrid Transformer and Mamba Architecture for Practical Audio and Bone Conduction Speech Super Resolution and Enhancement on Mobile and Wearable Platforms | Link | ||
Arxiv 24.05.10 | An Investigation of Incorporating Mamba for Speech Enhancement | Link | ||
Arxiv 24.05.20 | SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model | Link | Code | |
Arxiv 24.05.21 | Mamba in Speech: Towards an Alternative to Self-Attention | Link | ||
Arxiv 24.05.22 | Audio Mamba: Pretrained Audio State Space Model For Audio Tagging | Link | Code | |
Arxiv 24.06.04 | Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations | Link | Code | |
Arxiv 24.06.05 | Audio Mamba: Bidirectional State Space Model for Audio Representation Learning | Link | Code | |
Arxiv 24.06.10 | RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection | Link | Code | |
Arxiv 24.06.24 (Interspeech 2024) | Exploring the Capability of Mamba in Speech Applications | Link | ||
Arxiv 24.07.13 | Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis | Link | Mamba-TasNet Code ConMamba Code | |
Arxiv 24.08.09 | SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation | Link | ||
Arxiv 24.09.04 | MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision | Link | ||
Arxiv 24.09.04 (SLT 2024 Workshop) | An Analysis of Linear Complexity Attention Substitutes with BEST-RQ | Link | ||
Expert Systems with Applications 2024 | A barking emotion recognition method based on Mamba and Synchrosqueezing Short-Time Fourier Transform | Link | Code |
Date | Paper | Figure | Link | Code |
---|---|---|---|---|
Arxiv 24.03.14 (ECAI 2024) | TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting | Link | Code | |
Arxiv 24.04.23 | SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting | Link | Code | |
Arxiv 24.04.23 | Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting | Link | ||
Arxiv 24.04.24 | Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting | Link | ||
Arxiv 24.05.11 | DTMamba : Dual Twin Mamba for Time Series Forecasting | Link | ||
Arxiv 24.05.25 | Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting | Link | ||
Arxiv 24.05.26 | MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting | Link | ||
Arxiv 24.06.06 | Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models | Link | ||
Arxiv 24.06.06 | TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification | Link | ||
Arxiv 24.06.08 | C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Link | Code | |
Arxiv 24.06.17 | SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces | Link | Code | |
Arxiv 24.07.15 | MSegRNN:Enhanced SegRNN Model with Mamba for Long-Term Time Series Forecasting | Link | ||
Arxiv 24.07.20 | FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting | Link | ||
Arxiv 24.08.04 | Mamba-Spike: Enhancing the Mamba Architecture with a Spiking Front-End for Efficient Temporal Data Processing | Link | Code | |
Arxiv 24.08.22 (CGI24) | Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting | Link | ||
Arxiv 24.08.27 | Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need | Link | Code |