Papers Mamba
“Mamba” 태그가 달린 논문 1,058편 · 필터 해제
A Real-Time System for Egocentric Hand-Object Interaction Detection in Industrial Domains
Hand-object interaction detection remains an open challenge in real-time applications, where intuitive user experiences depend on fast and accurate detection of interactions with surrounding objects. We propose an effici…
Action RecognitionHand-Object Interaction DetectionMambaObject+2Unified Medical Image Segmentation with State Space Modeling Snake
Unified Medical Image Segmentation (UMIS) is critical for comprehensive anatomical assessment but faces challenges due to multi-scale structural heterogeneity. Conventional pixel-based approaches, lacking object-level an…
Image SegmentationMambaMedical Image SegmentationSegmentation+1Differential Mamba
Sequence models like Transformers and RNNs often overallocate attention to irrelevant context, leading to noisy intermediate representations. This degrades LLM capabilities by promoting hallucinations, weakening long-ran…
Language ModelingLanguage ModellingMambaRetrievalLangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
Low-dose computed tomography (LDCT) reduces radiation exposure but often degrades image quality, potentially compromising diagnostic accuracy. Existing deep learning-based denoising methods focus primarily on pixel-level…
DenoisingDiagnosticImage ReconstructionMambaFindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
Modern recommendation systems face significant challenges in processing multimodal sequential data, particularly in temporal dynamics modeling and information flow coordination. Traditional approaches struggle with distr…
MambaRecommendation SystemsSequential RecommendationMambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection
We present the first work demonstrating that a pure Mamba block can achieve efficient Dense Global Fusion, meanwhile guaranteeing top performance for camera-LiDAR multi-modal 3D object detection. Our motivation stems fro…
3D Object DetectionAttributeLong-range modelingMamba+3MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture
Hyperspectral image (HSI) classification faces challenges such as high-dimensional data, limited training samples, and spectral redundancy, which often lead to overfitting and insufficient generalization capability. This…
Computational EfficiencyHyperspectral Image Classificationimage-classificationImage Classification+2Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting
Magnetic Resonance Fingerprinting (MRF) enables fast quantitative imaging by matching signal evolutions to a predefined dictionary. However, conventional dictionary matching suffers from exponential growth in computation…
Magnetic Resonance FingerprintingMambaSSIMState Space ModelsMamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation
Polyp segmentation in colonoscopy images is crucial for early detection and diagnosis of colorectal cancer. However, this task remains a significant challenge due to the substantial variations in polyp shape, size, and c…
MambaSegmentationMambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement
With the advent of new sequence models like Mamba and xLSTM, several studies have shown that these models match or outperform state-of-the-art models in single-channel speech enhancement, automatic speech recognition, an…
Automatic Speech RecognitionMambaSpeech Enhancementspeech-recognition+1MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction
Magnetic Resonance Imaging (MRI) reconstruction is essential in medical diagnostics. As the latest generative models, diffusion models (DMs) have struggled to produce high-fidelity images due to their stochastic nature i…
MambaMRI ReconstructionMamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking
Combining traditional RGB cameras with bio-inspired event cameras for robust object tracking has garnered increasing attention in recent years. However, most existing multimodal tracking algorithms depend heavily on high…
MambaObject TrackingVisual Object TrackingEAMamba: Efficient All-Around Vision State Space Model for Image Restoration
Image restoration is a key task in low-level computer vision that aims to reconstruct high-quality images from degraded inputs. The emergence of Vision Mamba, which draws inspiration from the advanced state space model M…
AllDeblurringDenoisingImage Restoration+2StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning
Recently, Mamba-based methods have demonstrated impressive performance in point cloud representation learning by leveraging State Space Model (SSM) with the efficient context modeling ability and linear complexity. Howev…
MambaRepresentation LearningEAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis
Hepatic echinococcosis (HE) is a widespread parasitic disease in underdeveloped pastoral areas with limited medical resources. While CNN-based and Transformer-based models have been widely applied to medical image segmen…
Image SegmentationLesion SegmentationMambaMedical Image Segmentation+2FlightKooba: A Fast Interpretable FTP Model
The Koopman theory is a powerful and effective modeling tool for converting nonlinear systems into linear representations, and flight trajectory prediction (FTP) is a complex nonlinear system. However, current models app…
MambamodelTime Series ForecastingTrajectory PredictionJCAPT: A Joint Modeling Approach for CAPT
Effective pronunciation feedback is critical in second language (L2) learning, for which computer-assisted pronunciation training (CAPT) systems often encompass two key tasks: automatic pronunciation assessment (APA) and…
MambaMemba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba
State Space Models (SSMs) have emerged as powerful alternatives to attention-based Transformers, with Mamba demonstrating impressive efficiency and scalability. As these models grow increasingly larger, the need for Para…
Mambaparameter-efficient fine-tuningState Space ModelsState-Space Models in Efficient Whispered and Multi-dialect Speech Recognition
Whispered speech recognition presents significant challenges for conventional automatic speech recognition systems, particularly when combined with dialect variation. However, utilizing an efficient method to solve this …
Automatic Speech RecognitionDiversityMambaspeech-recognition+2VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
Breast cancer remains a leading cause of mortality worldwide and is typically detected via screening programs where healthy people are invited in regular intervals. Automated risk prediction approaches have the potential…
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