Imagen de Portada

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

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Tianrun, Ding, Chaotao, Zhu, Lanyun, Xu, Tao, Ji, Deyi, Wang, Yan, Zang, Ying, Li, Zejian
Formato:	Preprint
Publicado:	2024
Materias:	Image and Video Processing Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Vision-LSTM: xLSTM as Generic Vision Backbone
por: Alkin, Benedikt, et al.
Publicado: (2024)

Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
por: Dutta, Pallabi, et al.
Publicado: (2024)

When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion Segmentation
por: Fang, Zhuoyi, et al.
Publicado: (2024)

SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More
por: Chen, Tianrun, et al.
Publicado: (2024)

xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement
por: Kühne, Nikolai Lund, et al.
Publicado: (2025)

Effective Distillation to Hybrid xLSTM Architectures
por: Hauzenberger, Lukas, et al.
Publicado: (2026)

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
por: Kang, Lei, et al.
Publicado: (2025)

Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images
por: Zhu, Qinfeng, et al.
Publicado: (2024)

Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku
por: Yu, Chunan, et al.
Publicado: (2025)

SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
por: Chen, Tianrun, et al.
Publicado: (2025)

Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models
por: Chen, Tianrun, et al.
Publicado: (2024)

Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification
por: Zhu, Lanyun, et al.
Publicado: (2025)

xLSTM: Extended Long Short-Term Memory
por: Beck, Maximilian, et al.
Publicado: (2024)

UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM
por: Guo, Xuhui, et al.
Publicado: (2025)

xLSTMTime : Long-term Time Series Forecasting With xLSTM
por: Alharthi, Musleh, et al.
Publicado: (2024)

Robust 4D Visual Geometry Transformer with Uncertainty-Aware Priors
por: Zang, Ying, et al.
Publicado: (2026)

Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
por: Ali, Khalid, et al.
Publicado: (2025)

MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability
por: Sun, Yan, et al.
Publicado: (2025)

Magic3DSketch: Create Colorful 3D Models From Sketch-Based 3D Modeling Guided by Text and Language-Image Pre-Training
por: Zang, Ying, et al.
Publicado: (2024)

MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision Performance
por: Huang, Wenjun, et al.
Publicado: (2024)

4DVGGT-D: 4D Visual Geometry Transformer with Improved Dynamic Depth Estimation
por: Zang, Ying, et al.
Publicado: (2026)

ViM-UNet: Vision Mamba for Biomedical Segmentation
por: Archit, Anwai, et al.
Publicado: (2024)

xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection
por: Faber, Kamil, et al.
Publicado: (2025)

Distil-xLSTM: Learning Attention Mechanisms through Recurrent Structures
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)

Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption
por: Wahl, Marja, et al.
Publicado: (2026)

xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
por: Beck, Maximilian, et al.
Publicado: (2025)

VM-UNet: Vision Mamba UNet for Medical Image Segmentation
por: Ruan, Jiacheng, et al.
Publicado: (2024)

xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
por: Beck, Maximilian, et al.
Publicado: (2025)

xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
por: Tao, Ze, et al.
Publicado: (2025)

LLaFS: When Large Language Models Meet Few-Shot Segmentation
por: Zhu, Lanyun, et al.
Publicado: (2023)

xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network
por: Huang, Qionghao, et al.
Publicado: (2024)

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
por: Schmidinger, Niklas, et al.
Publicado: (2024)

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
por: Kraus, Maurice, et al.
Publicado: (2024)

Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
por: Beck, Maximilian, et al.
Publicado: (2025)

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
por: Wang, Jinhong, et al.
Publicado: (2024)

MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation
por: Chen, Chaowei, et al.
Publicado: (2024)

Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches
por: Zang, Ying, et al.
Publicado: (2025)

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
por: Schmied, Thomas, et al.
Publicado: (2024)

AF-MAT: Aspect-aware Flip-and-Fuse xLSTM for Aspect-based Sentiment Analysis
por: Lawan, Adamu, et al.
Publicado: (2025)

MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)