Cover Image

Developing a foundation model for high-resolution remote sensing data of the Netherlands

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vermeeren, Paul, Kaya, Heysem
Format:	Preprint
Published:	2026
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

Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss
by: Pande, Shivam, et al.
Published: (2024)

HSONet:A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection
by: Tao, Chao, et al.
Published: (2024)

Training a high-performance retinal foundation model with half-the-data and 400 times less compute
by: Engelmann, Justin, et al.
Published: (2024)

DepthSeg: Depth prompting in remote sensing semantic segmentation
by: Zhou, Ning, et al.
Published: (2025)

A lightweight detector for real-time detection of remote sensing images
by: Wang, Qianyi, et al.
Published: (2025)

Estimating forest carbon stocks from high-resolution remote sensing imagery by reducing domain shift with style transfer
by: Yu, Zhenyu, et al.
Published: (2025)

Asking like Socrates: Socrates helps VLMs understand remote sensing images
by: Shao, Run, et al.
Published: (2025)

Learning to detect cloud and snow in remote sensing images from noisy labels
by: Liu, Zili, et al.
Published: (2024)

Localization, balance and affinity: a stronger multifaceted collaborative salient object detector in remote sensing images
by: Xie, Yakun, et al.
Published: (2024)

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery
by: Dias, Philipe, et al.
Published: (2024)

Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification
by: Peng, Longkang, et al.
Published: (2023)

Information transmission: Inferring change area from change moment in time series remote sensing images
by: Li, Jialu, et al.
Published: (2025)

Enabling clinical use of foundation models for computational pathology
by: Henriksen, Audun L, et al.
Published: (2026)

Thinker: A vision-language foundation model for embodied intelligence
by: Pan, Baiyu, et al.
Published: (2026)

An interpretable framework using foundation models for fish sex identification
by: Miao, Zheng, et al.
Published: (2026)

A multimodal vision foundation model for generalizable knee pathology
by: Yu, Kang, et al.
Published: (2026)

Prompting with the human-touch: evaluating model-sensitivity of foundation models for musculoskeletal CT segmentation
by: Magg, Caroline, et al.
Published: (2026)

ActiveMark: on watermarking of visual foundation models via massive activations
by: Chistyakova, Anna, et al.
Published: (2025)

Driving scenario generation and evaluation using a structured layer representation and foundational models
by: Hubert, Arthur, et al.
Published: (2025)

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping
by: Meseguer, Pablo, et al.
Published: (2025)

Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji
by: Gurjar, Yadvendra, et al.
Published: (2025)

Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waters
by: Agrafiotis, Panagiotis, et al.
Published: (2025)

Near, far: Patch-ordering enhances vision foundation models' scene understanding
by: Pariza, Valentinos, et al.
Published: (2024)

Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
by: Yu, Zhenyu, et al.
Published: (2024)

Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
by: Dumeur, Iris, et al.
Published: (2024)

Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations
by: Cavalcante, Guilherme J., et al.
Published: (2025)

EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
by: Shi, Danli, et al.
Published: (2024)

Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability
by: Hsu, Chia-Yu, et al.
Published: (2024)

DA-SSL: self-supervised domain adaptor to leverage foundational models in turbt histopathology slides
by: Zhang, Haoyue, et al.
Published: (2025)

Leveraging AI multimodal geospatial foundation models for improved near-real-time flood mapping at a global scale
by: Tulbure, Mirela G., et al.
Published: (2025)

PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments
by: Hofmann, Bernd, et al.
Published: (2025)

Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models
by: Nasios, Ioannis
Published: (2025)

Segmentation of arbitrary features in very high resolution remote sensing imagery
by: Cording, Henry, et al.
Published: (2024)

Generative deep learning for foundational video translation in ultrasound
by: Tomic, Nikolina, et al.
Published: (2025)

Revisiting semi-supervised learning in the era of foundation models
by: Zhang, Ping, et al.
Published: (2025)

Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models
by: Perez-Herrera, Laura Valeria, et al.
Published: (2026)

Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases
by: Zhang, Jinze, et al.
Published: (2026)

TasselNetV4: A vision foundation model for cross-scene, cross-scale, and cross-species plant counting
by: Hu, Xiaonan, et al.
Published: (2025)

An analysis of HOI: using a training-free method with multimodal visual foundation models when only the test set is available, without the training set
by: Ai, Chaoyi
Published: (2024)

BD-SAT: High-resolution Land Use Land Cover Dataset & Benchmark Results for Developing Division: Dhaka, BD
by: Paul, Ovi, et al.
Published: (2024)