:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zvonkov, Ivan, Tseng, Gabriel, Becker-Reshef, Inbal, Kerner, Hannah
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2511.02923
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

From Pixels to Patches: Pooling Strategies for Earth Embeddings
por: Corley, Isaac, et al.
Publicado: (2026)

How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
por: Kerner, Hannah, et al.
Publicado: (2023)

No One Knows the State of the Art in Geospatial Foundation Models
por: Corley, Isaac, et al.
Publicado: (2026)

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
por: Purohit, Mirali, et al.
Publicado: (2025)

Classification Drives Geographic Bias in Street Scene Segmentation
por: Nair, Rahul, et al.
Publicado: (2024)

Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War
por: Kerner, Hannah, et al.
Publicado: (2023)

Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
por: Kaur, Amandeep, et al.
Publicado: (2026)

The first global agricultural field boundary map at 10m resolution
por: Robinson, Caleb, et al.
Publicado: (2026)

EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation
por: Doerksen, Kelsey, et al.
Publicado: (2026)

Weak Labeling for Cropland Mapping in Africa
por: Hacheme, Gilles Quentin, et al.
Publicado: (2024)

GeoAI Agency Primitives
por: Zaytar, Akram, et al.
Publicado: (2026)

Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
por: Dhakal, Aayush, et al.
Publicado: (2023)

Structure-Semantic Decoupled Modulation of Global Geospatial Embeddings for High-Resolution Remote Sensing Mapping
por: Lyu, Jienan, et al.
Publicado: (2026)

Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
por: Tseng, Gabriel, et al.
Publicado: (2025)

A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
por: Nair, Rahul, et al.
Publicado: (2025)

Fields of The World: A Field Guide for Extracting Agricultural Field Boundaries
por: Corley, Isaac, et al.
Publicado: (2026)

Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels
por: Kerner, Hannah, et al.
Publicado: (2024)

DPA: A one-stop metric to measure bias amplification in classification datasets
por: Tokas, Bhanu, et al.
Publicado: (2024)

GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI
por: Simumba, Naomi, et al.
Publicado: (2025)

WATCH: Wide-Area Archaeological Site Tracking for Change Detection
por: Tadesse, Girmaw Abebe, et al.
Publicado: (2026)

Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning
por: Tadesse, Girmaw Abebe, et al.
Publicado: (2026)

MapVerse: A Benchmark for Geospatial Question Answering on Diverse Real-World Maps
por: Bhat, Sharat, et al.
Publicado: (2026)

Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
por: Thoreau, Romain, et al.
Publicado: (2025)

Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples
por: Khallaghi, Sam, et al.
Publicado: (2024)

Characterizing Brazilian Atlantic Forest Restoration Outcomes with Geospatial AlphaEarth Embeddings
por: Heiman, Alice
Publicado: (2026)

Evaluating the Role of Training Data Origin for Country-Scale Cropland Mapping in Data-Scarce Regions: A Case Study of Nigeria
por: Gajardo, Joaquin, et al.
Publicado: (2023)

MapGCLR: Geospatial Contrastive Learning of Representations for Online Vectorized HD Map Construction
por: Merkert, Jonas, et al.
Publicado: (2026)

Weakly Supervised Framework Considering Multi-temporal Information for Large-scale Cropland Mapping with Satellite Imagery
por: Wang, Yuze, et al.
Publicado: (2024)

TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery
por: Glazer, Tammy, et al.
Publicado: (2025)

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
por: Rolf, Esther, et al.
Publicado: (2024)

Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
por: Xiong, Zhexiao, et al.
Publicado: (2024)

Landslide Hazard Mapping with Geospatial Foundation Models: Geographical Generalizability, Data Scarcity, and Band Adaptability
por: Li, Wenwen, et al.
Publicado: (2025)

Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?
por: Jia, Yuru, et al.
Publicado: (2025)

Low-Rank Adaptation of Geospatial Foundation Models for Wildfire Mapping Using Sentinel-2 Data
por: Shibli, Ali, et al.
Publicado: (2026)

Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal
por: Butsko, Christina, et al.
Publicado: (2025)

GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping
por: Daruna, Angel, et al.
Publicado: (2024)

Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025)
por: Xu, Zirui, et al.
Publicado: (2025)

UNIGEOCLIP: Unified Geospatial Contrastive Learning
por: Astruc, Guillaume, et al.
Publicado: (2026)

iWatchRoadv2: Pothole Detection, Geospatial Mapping, and Intelligent Road Governance
por: Sahoo, Rishi Raj, et al.
Publicado: (2025)