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Mamba

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/sqbqamar/SAMA-UNet

공식 코드

SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance Learning

https://github.com/sstary/ssrs

공식 코드

RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation

https://github.com/state-spaces/mamba

공식 코드

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/steve-zeyu-zhang/InfiniMotion

공식 코드

InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation

https://github.com/steve-zeyu-zhang/KMM

공식 코드

KMM: Key Frame Mask Mamba for Extended Motion Generation

https://github.com/steve-zeyu-zhang/MotionMamba

공식 코드

Motion Mamba: Efficient and Long Sequence Motion Generation

https://github.com/summitgao/msfmamba

공식 코드

MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification

https://github.com/sunj000/wdmamba

공식 코드

WDMamba: When Wavelet Degradation Prior Meets Vision Mamba for Image Dehazing

https://github.com/sunshangquan/transmamba

공식 코드

A Hybrid Transformer-Mamba Network for Single Image Deraining

https://github.com/sustcsonglin/flash-linear-attention

공식 코드

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

https://github.com/svjlucas/mangroveai

공식 코드

A Deep Learning-Based Approach for Mangrove Monitoring

https://github.com/swagshaw/xlsr-mamba

공식 코드

XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection

https://github.com/swiman/mamba-medical-classification

공식 코드

Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba

https://github.com/swjtuma/fer-yolo-mamba

공식 코드

FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space

https://github.com/terrypei/efficientvmamba

공식 코드

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

https://github.com/test-time-training/ttt-lm-pytorch

공식 코드

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

https://github.com/thearkaprava/ms-temba

공식 코드

MS-Temba : Multi-Scale Temporal Mamba for Efficient Temporal Action Detection

https://github.com/thu-nics/qllm-eval

공식 코드

Evaluating Quantized Large Language Models

https://github.com/tiancuteqy/endomamba

공식 코드

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

https://github.com/tianrun-chen/xLSTM-UNet-PyTorch

공식 코드

xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart

https://github.com/tiffany9056/uu-mamba

공식 코드

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation

https://github.com/tinkle01/spectmamba

공식 코드

A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary Regularization

https://github.com/tinysqua/gfe-mamba

공식 코드

GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI

https://github.com/tomchenshi/hsrmamba

공식 코드

HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-Resolution

https://github.com/tonyliu0910/msemg

공식 코드

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network

https://github.com/toshihiro-ota/decision-mamba

공식 코드

Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces

https://github.com/tri-ml/linear_open_lm

공식 코드

Linearizing Large Language Models

https://github.com/txchen-ustc/mim-istd

공식 코드

MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection

https://github.com/typistchen/spikmamba

공식 코드

SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition

https://github.com/tyshiwo1/dim-diffusionmamba

공식 코드

DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

https://github.com/unintelligentmumu/matrrec

공식 코드

MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation

https://github.com/url-kaist/mambaglue

공식 코드

MambaGlue: Fast and Robust Local Feature Matching With Mamba

https://github.com/vietthanh2710/ac-mambaseg

공식 코드

AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation

https://github.com/vinairesearch/dimsum

공식 코드

DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation

https://github.com/violayhho/flood-damagesense

공식 코드

Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing Imagery

https://github.com/vision-sjtu/quadmamba

공식 코드

QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.