Cover Image

A Global-Local Cross-Attention Network for Ultra-high Resolution Remote Sensing Image Semantic Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yi, Chen, LianLei, Shan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Referring Remote Sensing Image Segmentation with Cross-view Semantics Interaction Network
by: Yang, Jiaxing, et al.
Published: (2025)

SDRNET: Stacked Deep Residual Network for Accurate Semantic Segmentation of Fine-Resolution Remotely Sensed Images
by: Wambugu, Naftaly, et al.
Published: (2025)

Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation
by: Li, Shuyang, et al.
Published: (2025)

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

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention
by: Wang, Shanwen, et al.
Published: (2025)

HIMOSA: Efficient Remote Sensing Image Super-Resolution with Hierarchical Mixture of Sparse Attention
by: Liu, Yi, et al.
Published: (2025)

EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy
by: Yu, Yichun, et al.
Published: (2025)

ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
by: Zhang, Zilun, et al.
Published: (2024)

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

LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections
by: Xiang, Xuezhi, et al.
Published: (2024)

Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding
by: Li, Yueying, et al.
Published: (2026)

Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation
by: Dong, Zhe, et al.
Published: (2024)

Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images
by: Wang, Shanwen, et al.
Published: (2026)

A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs
by: Dang, Yunkai, et al.
Published: (2025)

Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
by: Immanuel, Steve Andreas, et al.
Published: (2024)

FSDENet: A Frequency and Spatial Domains based Detail Enhancement Network for Remote Sensing Semantic Segmentation
by: Fu, Jiahao, et al.
Published: (2025)

Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery
by: Dahal, Ashim, et al.
Published: (2024)

Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation
by: Wang, Guanchun, et al.
Published: (2026)

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

GeoEyes: On-Demand Visual Focusing for Evidence-Grounded Understanding of Ultra-High-Resolution Remote Sensing Imagery
by: Wang, Fengxiang, et al.
Published: (2026)

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images
by: Long, Wei, et al.
Published: (2025)

Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
by: Tan, Jieyi, et al.
Published: (2024)

Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction
by: Guo, Haonan, et al.
Published: (2023)

Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution
by: Mudraje, Ashitha, et al.
Published: (2025)

AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images
by: Dutta, Saikat, et al.
Published: (2025)

CroBIM-U: Uncertainty-Driven Referring Remote Sensing Image Segmentation
by: Sun, Yuzhe, et al.
Published: (2026)

HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation
by: Hossain, Md Aminur, et al.
Published: (2026)

Learning Local and Global Temporal Contexts for Video Semantic Segmentation
by: Sun, Guolei, et al.
Published: (2022)

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing
by: Dang, Yunkai, et al.
Published: (2026)

Graph Information Bottleneck for Remote Sensing Segmentation
by: Shou, Yuntao, et al.
Published: (2023)

Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
by: Xu, Wenjia, et al.
Published: (2024)

Semantic Image Synthesis via Class-Adaptive Cross-Attention
by: Fontanini, Tomaso, et al.
Published: (2023)

Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentation
by: Ahmadi, Rozhan, et al.
Published: (2024)

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

SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks
by: Erisen, Serdar
Published: (2024)

The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
by: Liu, Kai, et al.
Published: (2026)

Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
by: Li, Bingyu, et al.
Published: (2025)

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models
by: Dong, Zhe, et al.
Published: (2025)

Local and Global Feature Attention Fusion Network for Face Recognition
by: Yu, Wang, et al.
Published: (2024)

Semantically Aware UAV Landing Site Assessment from Remote Sensing Imagery via Multimodal Large Language Models
by: Hua, Chunliang, et al.
Published: (2026)