[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
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vision-mamba
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Mamba in Vision: A Comprehensive Survey of Techniques and Applications
computer-vision deep-learning survey mamba state-space-model review-paper foundation-models vision-mamba mamba-model
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[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
video-processing mamba image-restoration restoration state-space-models low-level-vision video-enhancement deraining video-restoration video-deraining mamba-state-space-models vision-mamba video-mamba acmmm2024
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[CVPR 25] Official Implementation (Pytorch) of "EfficientViM: Efficient Vision Mamba with Hidden State Mixer-based State Space Duality"
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[WACV2025 Oral] SUM: Saliency Unification through Mamba for Visual Attention Modeling
marketing mamba saliency-map saliency mamba-image visual-attention saliency-model saliency-prediction wacv saliency-analysis saliency-methods mamba-state-space-models vision-mamba mamba-model wacv2025
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- Python
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
pytorch keras-tensorflow interpretation cnn-classification explainable-ai vision-transformer image-attribution vision-mamba
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- Jupyter Notebook
[NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍
machine-learning mamba interpretability state-space-models explainable-ai xai interpretable-machine-learning explainability mamba-state-space-models vision-mamba neurips-2024
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List of papers related to State Space Models (Mamba) in Vision.
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[NeurIPS 2024] MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
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Event based Sign-Language-Translation
sign-language sign video-captioning language-generation sign-language-recognition sign-language-translation event-camera vision-mamba cnn-mamba
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Official implementation of the paper "MFil-Mamba: Multi-Filter Scanning for Spatial Redundancy-Aware Visual State Space Models"
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A comparative Generative AI framework for conditional face synthesis. Features a custom autoregressive Vision Mamba (SSM) architecture, benchmarked alongside Conditional DDPM and VAE models on the CelebA dataset.
pytorch vae celeba comparative-analysis state-space-model diffusion-models ddpm ddim generative-ai vision-mamba computational-image-generation
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Scalable Algorithm-Hardware Co-Design for Dynamically Quantized Vision Mamba Models Inference on FPGA.
fpga rtl vision quantization hardware-acceleration mamba high-level-synthesis vision-mamba algorithm-hardware-codesign
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Implementation of a Vision-Mamba network, integrating State Space Models (SSM) with a patch-based encoder–decoder for image inpainting, colorization, and denoising. Trained with L1, SSIM, and VGG perceptual losses to preserve both structure and perceptual realism.
computer-vision deep-learning pytorch autoencoder ssm image-inpainting denoising-autoencoders image-restoration state-space-model ssim-loss perceptual-loss image-reconstructions vision-mamba mamba-block vgg-perceptual-loss
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[IKT 2024] A Multi-Task Framework Using Mamba for Identity, Age, and Gender Classification from Hand Images
authentication mamba gender-classification age-classification hand multimodal-deep-learning vision-mamba vmamba mamba-classification
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- Python
Comparative study of CNN, Transformer, and SSM-based models for multi-domain image classification tasks. Developed as the undergraduate thesis project of Group-T2410196 at BRAC University, Fall 2024.
computer-vision deep-learning cnn transformer image-classification multi-domain knowledge-distillation model-comparison state-space-model multiclass-image-classification efficiency-analysis vision-mamba
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The associated code with the paper "Vision Mamba for Accurate and Efficient Alzheimer’s Disease Classification via Brain MRI".
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- Jupyter Notebook
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