Cover Image

LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Tong, Chen, Guanzhou, Zhang, Xiaodong, Liu, Chenxi, Tan, Xiaoliang, Wang, Jiaqi, He, Chanjuan, Zhou, Wenlin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
by: Tan, Xiaoliang, et al.
Published: (2023)

STARS: Shared-specific Translation and Alignment for missing-modality Remote Sensing Semantic Segmentation
by: Wang, Tong, et al.
Published: (2026)

MSSDF: Modality-Shared Self-supervised Distillation for High-Resolution Multi-modal Remote Sensing Image Learning
by: Wang, Tong, et al.
Published: (2025)

S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery
by: Yang, Qingyuan, et al.
Published: (2024)

Parameter-Efficient Modality-Balanced Symmetric Fusion for Multimodal Remote Sensing Semantic Segmentation
by: Li, Haocheng, et al.
Published: (2026)

UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images
by: Zhu, Enze, et al.
Published: (2024)

PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery
by: Wang, Libo, et al.
Published: (2024)

Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data
by: Dimitrovski, Ivica, et al.
Published: (2024)

MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images
by: Wang, Libo, et al.
Published: (2023)

BFA-YOLO: A balanced multiscale object detection network for building façade attachments detection
by: Chen, Yangguang, et al.
Published: (2024)

BAFNet: Bilateral Attention Fusion Network for Lightweight Semantic Segmentation of Urban Remote Sensing Images
by: Wang, Wentao, et al.
Published: (2024)

SGMA: Semantic-Guided Modality-Aware Segmentation for Remote Sensing with Incomplete Multimodal Data
by: Wen, Lekang, et al.
Published: (2026)

Multimodal-Aware Fusion Network for Referring Remote Sensing Image Segmentation
by: Shi, Leideng, et al.
Published: (2025)

Efficient Multi-Resolution Fusion for Remote Sensing Data with Label Uncertainty
by: Vakharia, Hersh, et al.
Published: (2024)

Geospatial-Reasoning-Driven Vocabulary-Agnostic Remote Sensing Semantic Segmentation
by: Zhou, Chufeng, et al.
Published: (2026)

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation
by: Qi, Zipeng, et al.
Published: (2024)

A Unified Framework with Multimodal Fine-tuning for Remote Sensing Semantic Segmentation
by: Ma, Xianping, et al.
Published: (2024)

S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
by: Lv, Liang, et al.
Published: (2025)

Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering
by: Zhao, Zhicheng, et al.
Published: (2024)

Robust Multimodal Semantic Segmentation with Balanced Modality Contributions
by: Tan, Jiaqi, et al.
Published: (2025)

MM-OVSeg:Multimodal Optical-SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
by: Wei, Yimin, et al.
Published: (2026)

Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation
by: Ma, Xianping, 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)

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation
by: Song, Jiayi, et al.
Published: (2025)

SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis
by: Zhao, Bingxuan, et al.
Published: (2026)

Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
by: Jia, Yuyu, et al.
Published: (2024)

DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation
by: Ran, Lingyan, et al.
Published: (2024)

EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing
by: Jiang, Hongxiang, et al.
Published: (2025)

Sparse Refinement for Efficient High-Resolution Semantic Segmentation
by: Liu, Zhijian, et al.
Published: (2024)

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
by: Wang, Fengxiang, et al.
Published: (2025)

From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentation
by: Liu, Quanwei, et al.
Published: (2025)

Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
by: Gui, Yuanyuan, et al.
Published: (2025)

Hi-ResNet: Edge Detail Enhancement for High-Resolution Remote Sensing Segmentation
by: Chen, Yuxia, et al.
Published: (2023)

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

Open-Vocabulary Semantic Segmentation Network Integrating Object-Level Label and Scene-Level Semantic Features for Multimodal Remote Sensing Images
by: Dai, Jinkun, et al.
Published: (2026)

PC-SAM: Patch-Constrained Fine-Grained Interactive Road Segmentation in High-Resolution Remote Sensing Images
by: Lv, Chengcheng, et al.
Published: (2026)

CSFMamba: Cross State Fusion Mamba Operator for Multimodal Remote Sensing Image Classification
by: Wang, Qingyu, et al.
Published: (2025)

ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object
by: Shan, Zhe, et al.
Published: (2025)

Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification
by: Liu, Hao, et al.
Published: (2025)

Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion
by: Zhou, Yi, et al.
Published: (2025)