Cover Image

Multilingual Vision-Language Pre-training for the Remote Sensing Domain

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Silva, João Daniel, Magalhaes, Joao, Tuia, Devis, Martins, Bruno
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

An Efficient and Effective Encoder Model for Vision and Language Tasks in the Remote Sensing Domain
by: Silva, João Daniel, et al.
Published: (2025)

Large Language Models for Captioning and Retrieving Remote Sensing Images
by: Silva, João Daniel, et al.
Published: (2024)

Multilingual Training-Free Remote Sensing Image Captioning
by: Rebelo, Carlos, et al.
Published: (2025)

SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images
by: Sumbul, Gencer, et al.
Published: (2025)

Knowledge-aware Text-Image Retrieval for Remote Sensing Images
by: Mi, Li, et al.
Published: (2024)

Knowledge-aware Visual Question Generation for Remote Sensing Images
by: Li, Siran, et al.
Published: (2026)

Questions beyond Pixels: Integrating Commonsense Knowledge in Visual Question Generation for Remote Sensing
by: Li, Siran, et al.
Published: (2026)

TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation
by: Litrico, Mattia, et al.
Published: (2025)

Cross-Modal Learning of Housing Quality in Amsterdam
by: Levering, Alex, et al.
Published: (2024)

POLO -- Point-based, multi-class animal detection
by: May, Giacomo, et al.
Published: (2024)

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context
by: Frischholz, Yael, et al.
Published: (2025)

High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2
by: Metzger, Nando, et al.
Published: (2023)

Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
by: Zhou, Wenlve, et al.
Published: (2024)

Show and Guide: Instructional-Plan Grounded Vision and Language Model
by: Glória-Silva, Diogo, et al.
Published: (2024)

Generic Knowledge Boosted Pre-training For Remote Sensing Images
by: Huang, Ziyue, et al.
Published: (2024)

Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
by: Porta, Hugo, et al.
Published: (2024)

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities
by: Porta, Hugo, et al.
Published: (2025)

GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration
by: Mi, Li, et al.
Published: (2025)

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
by: Tseng, Gabriel, et al.
Published: (2023)

EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
by: Zermatten, Valerie, et al.
Published: (2025)

MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection
by: Huang, Ziyue, et al.
Published: (2024)

MoralCLIP: Contrastive Alignment of Vision-and-Language Representations with Moral Foundations Theory
by: Condez, Ana Carolina, et al.
Published: (2025)

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
by: Liu, Fan, et al.
Published: (2023)

Checkmate: interpretable and explainable RSVQA is the endgame
by: Tosato, Lucrezia, et al.
Published: (2025)

From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring
by: Forest, Florent, et al.
Published: (2023)

Efficient Vision-Language Pre-training by Cluster Masking
by: Wei, Zihao, et al.
Published: (2024)

Enhancing Vision-Language Pre-training with Rich Supervisions
by: Gao, Yuan, et al.
Published: (2024)

Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning
by: Tan, Jieyi, et al.
Published: (2025)

Continual Vision-Language Learning for Remote Sensing: Benchmarking and Analysis
by: Weng, Xingxing, et al.
Published: (2026)

Scaling Pre-training to One Hundred Billion Data for Vision Language Models
by: Wang, Xiao, et al.
Published: (2025)

MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
by: Hua, Hang, et al.
Published: (2024)

VLP: A Survey on Vision-Language Pre-training
by: Chen, Feilong, et al.
Published: (2022)

CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models
by: An, Xiao, et al.
Published: (2024)

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives
by: Weng, Xingxing, et al.
Published: (2025)

Redundancy-Aware Pretraining of Vision-Language Foundation Models in Remote Sensing
by: Adler, Mathis Jürgen, et al.
Published: (2025)

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing
by: Anderson, Madeline, et al.
Published: (2025)

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models
by: Khoury, Karim El, et al.
Published: (2025)

CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation
by: Gong, Ziyang, et al.
Published: (2024)

ConGeo: Robust Cross-view Geo-localization across Ground View Variations
by: Mi, Li, et al.
Published: (2024)

Sample-agnostic Adversarial Perturbation for Vision-Language Pre-training Models
by: Zheng, Haonan, et al.
Published: (2024)