Imagen de Portada

RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Zhechao, Cheng, Peirui, Tian, Pengju, Wang, Yuchao, Chen, Mingxin, Duan, Shujing, Wang, Zhirui, Li, Xinming, Sun, Xian
Formato:	Preprint
Publicado:	2024
Materias:	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

Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
por: Wang, Zhechao, et al.
Publicado: (2024)

UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping
por: Tian, Pengju, et al.
Publicado: (2024)

UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection
por: Wang, Yuchao, et al.
Publicado: (2024)

Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
por: Li, Zhongyao, et al.
Publicado: (2025)

RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model
por: Hu, Huiyang, et al.
Publicado: (2024)

SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing
por: Chen, Chen, et al.
Publicado: (2024)

Twin Deformable Point Convolutions for Point Cloud Semantic Segmentation in Remote Sensing Scenes
por: Mao, Yong-Qiang, et al.
Publicado: (2024)

RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
por: Xu, Wenjia, et al.
Publicado: (2024)

SDL-MVS: View Space and Depth Deformable Learning Paradigm for Multi-View Stereo Reconstruction in Remote Sensing
por: Mao, Yong-Qiang, et al.
Publicado: (2024)

MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
por: Wang, Di, et al.
Publicado: (2024)

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models
por: Li, Yujie, et al.
Publicado: (2024)

RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
por: Wang, Chenhao, et al.
Publicado: (2025)

SatelliteCalculator: A Multi-Task Vision Foundation Model for Quantitative Remote Sensing Inversion
por: Yu, Zhenyu, et al.
Publicado: (2025)

RS3DBench: A Comprehensive Benchmark for 3D Spatial Perception in Remote Sensing
por: Wang, Jiayu, et al.
Publicado: (2025)

YOLO-RS: Remote Sensing Enhanced Crop Detection Methods
por: Xiao, Linlin, et al.
Publicado: (2025)

Adaptive Dynamic Dehazing via Instruction-Driven and Task-Feedback Closed-Loop Optimization for Diverse Downstream Task Adaptation
por: Zhang, Yafei, et al.
Publicado: (2026)

HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery
por: Li, Jingtao, et al.
Publicado: (2025)

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing
por: Wang, Fengxiang, et al.
Publicado: (2025)

RingMo-Agent: A Unified Remote Sensing Foundation Model for Multi-Platform and Multi-Modal Reasoning
por: Hu, Huiyang, et al.
Publicado: (2025)

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration
por: Li, Zhili, et al.
Publicado: (2026)

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction
por: Wang, Zeyu, et al.
Publicado: (2024)

SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World
por: Chen, Chen, et al.
Publicado: (2025)

Foundation Models for Remote Sensing and Earth Observation: A Survey
por: Xiao, Aoran, et al.
Publicado: (2024)

RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation
por: Bi, Hanbo, et al.
Publicado: (2025)

EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation
por: Pei, Baoqi, et al.
Publicado: (2024)

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion
por: Yu, Zhenyu, et al.
Publicado: (2025)

FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensing
por: Yang, Yi, et al.
Publicado: (2025)

Instruction-Driven Fusion of Infrared-Visible Images: Tailoring for Diverse Downstream Tasks
por: Yang, Zengyi, et al.
Publicado: (2024)

Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model
por: Lyu, Shuchang, et al.
Publicado: (2024)

RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation
por: Xie, Weiying, et al.
Publicado: (2023)

TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
por: Yu, Yang, et al.
Publicado: (2024)

RS-Prune: Training-Free Data Pruning at High Ratios for Efficient Remote Sensing Diffusion Foundation Models
por: Wei, Fan, et al.
Publicado: (2025)

AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing
por: Bi, Hanbo, et al.
Publicado: (2024)

Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation
por: Liu, Chenying, et al.
Publicado: (2024)

Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks
por: Kowalczuk, Antoni, et al.
Publicado: (2024)

Edge-Cloud Collaborative Reconstruction via Structure-Aware Latent Diffusion for Downstream Remote Sensing Perception
por: Li, Yun, et al.
Publicado: (2026)

RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data
por: Shor, Tamir, et al.
Publicado: (2026)

RS-Mamba for Large Remote Sensing Image Dense Prediction
por: Zhao, Sijie, et al.
Publicado: (2024)

Poly Kernel Inception Network for Remote Sensing Detection
por: Cai, Xinhao, et al.
Publicado: (2024)

Vision Foundation Models in Remote Sensing: A Survey
por: Lu, Siqi, et al.
Publicado: (2024)