Cover Image

Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Qinfeng, Cai, Yuanzhi, Fan, Lei
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy
by: Zhu, Qinfeng, et al.
Published: (2024)

ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagery
by: Zhu, Qinfeng, et al.
Published: (2025)

Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste
by: Zhu, Qinfeng, et al.
Published: (2024)

Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
by: Zhu, Qinfeng, et al.
Published: (2024)

Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study
by: Zhu, Qinfeng, et al.
Published: (2024)

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

ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
by: Kordasiabi, Sheida Rahnamai, et al.
Published: (2025)

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
by: Li, Zhuohong, et al.
Published: (2024)

SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion
by: Lagos, Juan Pablo, et al.
Published: (2022)

Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery
by: Sharma, Lakshay, et al.
Published: (2026)

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models
by: Zhang, Jielu, et al.
Published: (2023)

Predicting Blastocyst Formation in IVF: Integrating DINOv2 and Attention-Based LSTM on Time-Lapse Embryo Images
by: Varzaneh, Zahra Asghari, et al.
Published: (2026)

SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
by: Mandalika, Sriram, et al.
Published: (2024)

When Better Eyes Lead to Blindness: A Diagnostic Study of the Information Bottleneck in CNN-LSTM Image Captioning Models
by: Gupta, Hitesh Kumar
Published: (2025)

GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery
by: Jiang, Lifan, et al.
Published: (2026)

ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM
by: Goenawan, Christofel Rio
Published: (2024)

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

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

Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings
by: Zhu, Yuanzhi, et al.
Published: (2025)

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
by: Fu, Tianhao, et al.
Published: (2026)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
by: Li, Xingjian, et al.
Published: (2025)

A Billion-scale Foundation Model for Remote Sensing Images
by: Cha, Keumgang, et al.
Published: (2023)

Open-Vocabulary Remote Sensing Image Semantic Segmentation
by: Cao, Qinglong, et al.
Published: (2024)

Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility
by: Thu, Ye Kyaw, et al.
Published: (2026)

MIS-LSTM: Multichannel Image-Sequence LSTM for Sleep Quality and Stress Prediction
by: Park, Seongwan, et al.
Published: (2025)

Evaluating BiLSTM and CNN+GRU Approaches for Human Activity Recognition Using WiFi CSI Data
by: Wakili, Almustapha A., et al.
Published: (2025)

Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusion
by: Situ, Zuxiang, et al.
Published: (2023)

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

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

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

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

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Solid Waste Detection, Monitoring and Mapping in Remote Sensing Images: A Survey
by: Fraternali, Piero, et al.
Published: (2024)

ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Model
by: Tang, Kai, et al.
Published: (2024)

BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
by: Su, Encheng, et al.
Published: (2025)

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

UNet++ and LSTM combined approach for Breast Ultrasound Image Segmentation
by: Hesaraki, Saba, et al.
Published: (2024)

SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
by: Yan, Zhiling, et al.
Published: (2026)

SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation
by: Park, Minje, et al.
Published: (2025)